[{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"814368aef5496622c2b09370c4b42e13ab9fc7c74f5b6a4232c3e19913b1f9a0","section":"requirements","status":"invalid","value_json":null,"candidate_json":"{\"nodes\":[{\"children\":[],\"condition\":null,\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n0\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","error":"Non-course conditions must preserve verbatim source text","model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"814368aef5496622c2b09370c4b42e13ab9fc7c74f5b6a4232c3e19913b1f9a0","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"biostatistics population health\",\"descriptive statistics probability\",\"hypothesis testing confidence intervals\",\"sample size calculations binomial inference\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and elementary probability\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial statistical inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Statistical assumptions and diagnostic work\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"title\",\"quote\":\"INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH\"},{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Introduction to biostatistics for population health researchers covering descriptive statistics, probability, inference, and sample size calculations.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and probability distributions\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Hypothesis testing and confidence intervals\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-5291a20b802b9bbbe22b24cb","output_id":"814368aef5496622c2b09370c4b42e13ab9fc7c74f5b6a4232c3e19913b1f9a0","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"01e72a0389551dee893f390de49a1cbfdcfa5bbc16b2bb152b8c2ee0690a808a","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n0\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"01e72a0389551dee893f390de49a1cbfdcfa5bbc16b2bb152b8c2ee0690a808a","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"biostatistics population health\",\"descriptive statistics probability\",\"hypothesis testing confidence intervals\",\"sample size calculations binomial inference\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and elementary probability\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial statistical inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Statistical assumptions and diagnostic work\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"title\",\"quote\":\"INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH\"},{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Introduction to biostatistics for population health researchers covering descriptive statistics, probability, inference, and sample size calculations.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and probability distributions\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Hypothesis testing and confidence intervals\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-5590a4969e0a630fe46a86e8","output_id":"01e72a0389551dee893f390de49a1cbfdcfa5bbc16b2bb152b8c2ee0690a808a","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-789789da373eecc1ff75f626","output_id":"4031372d7e7df06065ae1f4afd84de5349a5a6cddeb33f89a10cb7efa0d04def","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n0\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-789789da373eecc1ff75f626","output_id":"4031372d7e7df06065ae1f4afd84de5349a5a6cddeb33f89a10cb7efa0d04def","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"biostatistics population health\",\"descriptive statistics probability\",\"hypothesis testing confidence intervals\",\"sample size calculations binomial inference\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and elementary probability\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial statistical inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Statistical assumptions and diagnostic work\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"title\",\"quote\":\"INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH\"},{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Introduction to biostatistics for population health researchers covering descriptive statistics, probability, inference, and sample size calculations.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and probability distributions\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Hypothesis testing and confidence intervals\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260906T231458-5fdd2fff","observed_at":"2026-09-06 23:14:58.172943+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-789789da373eecc1ff75f626","output_id":"4031372d7e7df06065ae1f4afd84de5349a5a6cddeb33f89a10cb7efa0d04def","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":false},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"f5ef87a503321209d6a4af3600067f60be37f97cddcb9aaa14abc683c7fa1562","section":"requirements","status":"valid","value_json":"{\"nodes\":[{\"children\":[],\"condition\":\"Graduate/professional standing\",\"course\":null,\"evidence\":\"Graduate/professional standing\",\"id\":\"n0\",\"kind\":\"condition\"}],\"notes\":[],\"root\":\"n0\",\"status\":\"parsed\"}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"f5ef87a503321209d6a4af3600067f60be37f97cddcb9aaa14abc683c7fa1562","section":"search_profile","status":"valid","value_json":"{\"assumed_background\":[],\"search_phrases\":[\"biostatistics population health\",\"descriptive statistics probability\",\"hypothesis testing confidence intervals\",\"sample size calculations binomial inference\"],\"skills_taught\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and elementary probability\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial statistical inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Statistical assumptions and diagnostic work\"}],\"summary\":{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"title\",\"quote\":\"INTRODUCTION TO BIOSTATISTICS FOR POPULATION HEALTH\"},{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Designed for population health researcher. Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Introduction to biostatistics for population health researchers covering descriptive statistics, probability, inference, and sample size calculations.\"},\"topics\":[{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Descriptive statistics and probability distributions\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Normal and binomial inference\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Hypothesis testing and confidence intervals\"},{\"evidence\":[{\"course_id\":\"BMI/POPHLTH 551\",\"field\":\"description\",\"quote\":\"Topics include descriptive statistics, elementary probability, probability distributions, one- and two-sample normal inference (point estimation, hypothesis testing, confidence intervals), power and sample size calculations, one- and two-sample binomial inference, underlying assumptions and diagnostic work.\"}],\"text\":\"Power and sample size calculations\"}]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"f5ef87a503321209d6a4af3600067f60be37f97cddcb9aaa14abc683c7fa1562","section":"student_experience","status":"insufficient_evidence","value_json":"{\"status\":\"insufficient_evidence\",\"themes\":[]}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true},{"run_id":"20260907T155543-ce3781c4","observed_at":"2026-09-07 15:55:43.033547+00:00","course_uid":"course_bf09f7c132be1c8d849721f1","course_id":"BMI/POPHLTH 551","catalog_version_id":"c1a4738a11ee851fbb37a1b817914035a6663cc106226bcec727b19783cf4b0d","record_version_id":"ba85a94a8c79b11a9fa1a52939c059eb9d79d46f7f408aa7df17a5271e27250f","job_id":"enrich-8b774950c2b6adfdc46d1b82","output_id":"f5ef87a503321209d6a4af3600067f60be37f97cddcb9aaa14abc683c7fa1562","section":"student_summary","status":"valid","value_json":"{\"context_hash\":\"053bf30837eb102f1f74422334c99c14b571af6eec87f6f7577cf3988720716b\",\"course_id\":\"BMI/POPHLTH 551\",\"current_instructors\":[{\"instructor_uid\":\"instructor_826efa30bd842ba0be41033a\",\"message\":\"No course-specific reviews available\",\"name\":\"Tianyuan Lu\",\"review_status\":\"no_course_reviews\",\"rmp_instructor_id\":null,\"summary\":[{\"citations\":[{\"course_id\":\"BMI/POPHLTH 551\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"source_record\":{\"entity_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2025: 3.81 GPA, 93.8% A/AB (n=16 letter grades).\"}]}],\"difficulty_workload\":[],\"errors\":[],\"historical_context\":[],\"message\":\"No course-specific reviews available\",\"offered\":true,\"profile_hash\":\"5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02\",\"quick_take\":[{\"citations\":[{\"course_id\":\"BMI/POPHLTH 551\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1242\",\"type\":\"grade\"},{\"course_id\":\"BMI/POPHLTH 551\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1252\",\"type\":\"grade\"},{\"course_id\":\"BMI/POPHLTH 551\",\"run_id\":\"20260907T155543-ce3781c4\",\"source_record\":{\"entity_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"Recent recorded grades — Fall 2023: 3.70 GPA, 80.0% A/AB (n=10 letter grades); Fall 2024: 3.86 GPA, 100.0% A/AB (n=14 letter grades); Fall 2025: 3.81 GPA, 93.8% A/AB (n=16 letter grades).\"}],\"student_experience\":[],\"task_hash\":\"74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68\",\"teaching_history\":[{\"citations\":[{\"course_id\":\"BMI/POPHLTH 551\",\"run_id\":\"20260907T155543-ce3781c4\",\"section_number\":1,\"source_course_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"source_record\":{\"entity_id\":\"d302758a-1dfe-39dc-80d8-336711b0e69e\",\"file\":\"tables/observations.parquet\",\"kind\":\"grades\",\"source\":\"madgrades\"},\"table\":\"section_grades_latest\",\"term_id\":\"1262\",\"type\":\"grade\"}],\"text\":\"TIANYUAN LU is recorded teaching in Fall 2025. Recorded history may be incomplete and does not establish a future schedule.\"}],\"term_id\":\"1272\",\"term_name\":\"2026 Fall\",\"version\":2}","candidate_json":null,"error":null,"model":"nvidia/Qwen3.6-35B-A3B-NVFP4","model_revision":"1355db6a052410cfd62085d94b58866fd0f2c3c5","selected_for_release":true}]