{"id":"W3090836172","doi":"10.1097/ede.0000000000001253","title":"Postmyocardial Infarction Statin Exposure and the Risk of Stroke with Weighting for Outcome Misclassification","year":2020,"lang":"en","type":"article","venue":"Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Jewish General Hospital; University of Ottawa","funders":"Biogen; Eli Lilly and Company; Canadian Institutes of Health Research; Mitacs; McGill University; Amgen","keywords":"Medicine; Confidence interval; Confounding; Observational study; Inverse probability weighting; Odds ratio; Randomized controlled trial; Stroke (engine); Statin; Inverse probability; Outcome (game theory); Statistics; Internal medicine; Emergency medicine; Propensity score matching; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.06860932,0.0008819868,0.0009882767,0.002383588,0.0005639293,0.00199231,0.002204983,0.001634898,0.001957557],"category_scores_gemma":[0.283095,0.000575021,0.003440101,0.002964253,0.002031588,0.002420366,0.002573353,0.001964446,0.0001847668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001403282,"about_ca_system_score_gemma":0.00227324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003676433,"about_ca_topic_score_gemma":0.002040336,"domain_scores_codex":[0.9492458,0.03966911,0.002974083,0.003637909,0.00379437,0.0006789071],"domain_scores_gemma":[0.8066539,0.1473142,0.01793476,0.02435925,0.003378145,0.0003598554],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001254373,0.0004290801,0.2067754,0.001704132,0.007619101,0.0006592998,0.00188541,0.1479692,0.002814931,0.1761811,0.003963465,0.4487444],"study_design_scores_gemma":[0.000723261,0.0009565399,0.08238197,0.001156283,0.004725941,0.001658952,0.0003698589,0.454908,0.006171441,0.436675,0.01005937,0.0002133898],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09460148,0.001673865,0.898923,0.001988816,0.0001749773,0.0004540618,0.0003156556,0.0002252007,0.00164285],"genre_scores_gemma":[0.6975493,0.0006813479,0.2995245,0.0004932663,0.0001367896,0.0006252453,0.0002487339,0.00006362243,0.0006770925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06860932,"threshold_uncertainty_score":0.3628451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2210922716130339,"score_gpt":0.4148833491069785,"score_spread":0.1937910774939446,"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."}}