{"id":"W3113630075","doi":"10.1093/aje/kwaa284","title":"Invited Commentary: The Prevalent New-User Design in Pharmacoepidemiology—Challenges and Opportunities","year":2020,"lang":"en","type":"letter","venue":"American Journal of Epidemiology","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital","funders":"","keywords":"Pharmacoepidemiology; Context (archaeology); Clinical study design; Computer science; Research design; Population; Medicine; Data science; Management science; Engineering; Clinical trial; Environmental health; Geography; Pathology; Pharmacology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03185629,0.0005915494,0.005003703,0.0002720076,0.00006128802,0.000009088732,0.001073789,0.0005248956,0.0000912135],"category_scores_gemma":[0.2751506,0.0003683999,0.000418844,0.0001453251,0.002522033,0.00006830479,0.0002995158,0.005539338,0.000002941778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001308518,"about_ca_system_score_gemma":0.0001172848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008652428,"about_ca_topic_score_gemma":0.000004557166,"domain_scores_codex":[0.928133,0.06564157,0.004516796,0.0005917051,0.0002932695,0.0008237057],"domain_scores_gemma":[0.5309203,0.463776,0.004434605,0.0004419561,0.0001168254,0.0003103472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003374293,0.0000369496,0.0002253753,0.0001257895,0.0005535935,0.0005474043,0.0003209836,0.000007624076,0.000001753032,0.001535792,0.9181327,0.0781746],"study_design_scores_gemma":[0.0006510596,0.001268079,0.0001198223,0.0002340159,0.0004199963,0.0002085251,0.0002451814,0.00007806431,0.000001814388,0.5462947,0.450241,0.000237788],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00007765044,0.007798433,0.07496194,0.9157862,0.0007994274,0.0004914331,0.00003894122,0.00002159421,0.00002438306],"genre_scores_gemma":[0.00001615005,0.0391219,0.3414439,0.6160786,0.003250913,0.0000167541,0.000002936783,0.00005358211,0.00001532105],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5447589,"threshold_uncertainty_score":0.9998768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8104283041242712,"score_gpt":0.5713545399985923,"score_spread":0.2390737641256789,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}