{"id":"W2138898032","doi":"10.1067/mhj.2000.106610","title":"Subgroups, treatment effects, and baseline risks: Some lessons from major cardiovascular trials","year":2000,"lang":"en","type":"article","venue":"American Heart Journal","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":57,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto","funders":"","keywords":"Medicine; Subgroup analysis; Randomized controlled trial; Pharmacotherapy; Clinical trial; Myocardial infarction; Internal medicine; Angina; Randomization; Heart failure; Cardiology; Meta-analysis","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":[],"category_scores_codex":[0.1072166,0.001957579,0.006741161,0.001930555,0.001236381,0.004075923,0.003806761,0.006617549,0.005101914],"category_scores_gemma":[0.3046464,0.001271399,0.003465529,0.003245192,0.008803325,0.01105002,0.00322657,0.01707425,0.0003837404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002155185,"about_ca_system_score_gemma":0.00381382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009108269,"about_ca_topic_score_gemma":0.008695861,"domain_scores_codex":[0.9479114,0.0466563,0.001462941,0.001746442,0.001867505,0.0003554267],"domain_scores_gemma":[0.5101435,0.4724367,0.00385005,0.009464375,0.003041535,0.001063864],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002480821,0.000296496,0.01726987,0.003349575,0.005403562,0.0008018889,0.002132396,0.01921028,0.0002741236,0.5763655,0.03656005,0.3358555],"study_design_scores_gemma":[0.0004692731,0.00008742546,0.001200157,0.0003468955,0.0004755167,0.00008990392,0.0001426359,0.00813258,0.00007420615,0.9840719,0.004879273,0.00003020585],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02947709,0.1670542,0.5116651,0.278769,0.002421508,0.0003344994,0.001031044,0.0004591899,0.008788367],"genre_scores_gemma":[0.575402,0.1013342,0.232564,0.06866097,0.01446028,0.001343179,0.0006908726,0.0005585926,0.004985738],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8927834,"threshold_uncertainty_score":0.5670223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2342638152514535,"score_gpt":0.4515863091145355,"score_spread":0.2173224938630819,"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."}}