{"id":"W2138863151","doi":"10.1161/jaha.112.005207","title":"A Risk Score for In‐Hospital Death in Patients Admitted With Ischemic or Hemorrhagic Stroke","year":2013,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Medicine; Subarachnoid hemorrhage; Intracerebral hemorrhage; Stroke (engine); Logistic regression; Internal medicine; Ischemic stroke; Population; Statistic; Proportional hazards model; Cardiology; Emergency medicine; Ischemia; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.001887031,0.0007043449,0.0005473019,0.001677041,0.0002566925,0.0006333831,0.0004811363,0.0003998987,0.00138442],"category_scores_gemma":[0.007929884,0.0001190335,0.0006447023,0.0007901916,0.0002105935,0.0004792364,0.0006037413,0.0005883939,0.000363124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005267248,"about_ca_system_score_gemma":0.000850592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675064,"about_ca_topic_score_gemma":0.002133847,"domain_scores_codex":[0.9991478,0.0003043422,0.0001451886,0.00009261938,0.0002408868,0.00006924035],"domain_scores_gemma":[0.9965121,0.001072501,0.001315228,0.0001351224,0.0006024092,0.0003626314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000376396,0.00009609124,0.9894666,0.00003202594,0.000248657,0.00004286259,0.00002952281,0.0007056139,0.0001205609,0.00006358,0.0006838605,0.008134256],"study_design_scores_gemma":[0.0001549814,0.0004940358,0.9896458,0.00003047635,0.0001859043,0.0003737559,0.00006723101,0.007971182,0.0002334949,0.0003368853,0.000488391,0.00001781543],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952332,0.0002488314,0.001601511,0.000240461,0.00003684438,0.00008117814,0.001427072,0.00003999817,0.00109073],"genre_scores_gemma":[0.9960122,0.00007923177,0.001615501,0.00003889378,0.00003306511,0.00006526464,0.002014352,0.000003797166,0.0001377381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001887031,"threshold_uncertainty_score":0.009979725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007542523282068789,"score_gpt":0.2441744670230769,"score_spread":0.2366319437410081,"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."}}