{"id":"W2745205964","doi":"10.1161/strokeaha.117.018187","title":"Confounding by Pre-Morbid Functional Status in Studies of Apparent Sex Differences in Severity and Outcome of Stroke","year":2017,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Jewish General Hospital","funders":"National Institutes of Health; Fonds de Recherche du Québec - Santé; National Institute for Health and Care Research; Wellcome Trust","keywords":"Medicine; Stroke (engine); Odds ratio; Confidence interval; Modified Rankin Scale; Confounding; Prospective cohort study; Internal medicine; Population; Cohort study; Cohort; Ischemic stroke; Ischemia","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775616,0.0001524631,0.0006108102,0.0001411805,0.00004576141,0.00001184004,0.0001053896,0.00005426714,0.00003366043],"category_scores_gemma":[0.0002989999,0.0001299686,0.00004826986,0.00003606933,0.0003106644,0.00008851652,0.0002398056,0.0001729924,6.639464e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023529,"about_ca_system_score_gemma":0.00003172192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006348569,"about_ca_topic_score_gemma":0.0001993299,"domain_scores_codex":[0.9986569,0.00002733998,0.0004750648,0.0002471606,0.0003441672,0.0002493894],"domain_scores_gemma":[0.9991602,0.0001098841,0.0002940056,0.0003204321,0.00005455297,0.00006086921],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001655624,0.0001053351,0.9896429,0.0003048551,0.000166585,0.000006969678,0.0005838848,0.000001355866,0.006849875,0.0000567817,0.0008069462,0.001308939],"study_design_scores_gemma":[0.002241937,0.0001487972,0.9899034,0.0001486017,0.00006010406,0.000001976714,0.003048823,0.0001137097,0.003656277,0.00001717121,0.0005648046,0.00009438872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941294,0.0006255671,0.00006133554,0.000189695,0.000181728,0.0003359469,0.0001559639,0.000008643281,0.004311761],"genre_scores_gemma":[0.9959964,0.0002743753,0.0002905301,0.00002674329,0.00003116199,0.00002305046,0.0000126267,0.000007980841,0.003337159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003193598,"threshold_uncertainty_score":0.5299965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06641861909180445,"score_gpt":0.3496627369748478,"score_spread":0.2832441178830434,"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."}}