{"id":"W4366992020","doi":"10.1001/jama.2023.4221","title":"Emulation of Randomized Clinical Trials With Nonrandomized Database Analyses","year":2023,"lang":"en","type":"article","venue":"JAMA","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":379,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; National Institute on Aging; National Heart, Lung, and Blood Institute; U.S. Food and Drug Administration","keywords":"Medicine; Emulation; Randomized controlled trial; Clinical trial; MEDLINE; Database; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.7791423,0.004099497,0.008361276,0.008248789,0.00180377,0.0102706,0.008159081,0.007070943,0.01240058],"category_scores_gemma":[0.8927141,0.003912398,0.0153033,0.007906293,0.01017738,0.01202398,0.008215318,0.008251142,0.002750016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006197435,"about_ca_system_score_gemma":0.008162488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007804646,"about_ca_topic_score_gemma":0.0006301482,"domain_scores_codex":[0.09806203,0.8091662,0.04910225,0.02036558,0.02221178,0.001092126],"domain_scores_gemma":[0.058611,0.7818273,0.0465089,0.09988521,0.01220073,0.0009669637],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.03294379,0.001999385,0.06882428,0.0290424,0.05573493,0.001347597,0.007038959,0.1295182,0.002444757,0.2644418,0.02921426,0.3774495],"study_design_scores_gemma":[0.01988716,0.01191476,0.02363903,0.01381653,0.01638463,0.001189458,0.001111378,0.4312463,0.01082955,0.3690735,0.09999783,0.0009099571],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0143689,0.00275161,0.9214587,0.003914464,0.002384698,0.04582738,0.00250582,0.001653215,0.005135189],"genre_scores_gemma":[0.1919209,0.0007741176,0.7033464,0.003168157,0.0006909238,0.09758791,0.001391744,0.0002656845,0.0008541279],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2208577,"threshold_uncertainty_score":0.272357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5650319051167182,"score_gpt":0.5950935289172615,"score_spread":0.03006162380054334,"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."}}