{"id":"W2008125892","doi":"10.1161/circulationaha.109.932822","title":"Risk Score for In-Hospital Ischemic Stroke Mortality Derived and Validated Within the Get With The Guidelines–Stroke Program","year":2010,"lang":"en","type":"article","venue":"Circulation","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":283,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of Neurological Disorders and Stroke; Canadian Institutes of Health Research","keywords":"Medicine; Stroke (engine); Logistic regression; Framingham Risk Score; Atrial fibrillation; Dyslipidemia; Diabetes mellitus; Emergency medicine; Statistic; Internal medicine; Ischemic stroke; Physical therapy; Disease; Statistics; 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":[0.0006481727,0.0001721059,0.0001889499,0.0000459011,0.0001375137,0.0000512831,0.0001274004,0.00009587992,0.000008515481],"category_scores_gemma":[0.0003155161,0.00009491621,0.0000571492,0.0001411951,0.0001917446,0.00009498455,0.00005300787,0.0003471957,0.000001957196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003440267,"about_ca_system_score_gemma":0.00005526142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009453609,"about_ca_topic_score_gemma":0.0001033644,"domain_scores_codex":[0.9988489,0.00003114274,0.0003130391,0.0003163069,0.0002836858,0.0002069058],"domain_scores_gemma":[0.9989141,0.00007338548,0.0002429719,0.0004929705,0.000220692,0.00005591143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001122091,0.0001100082,0.9114251,0.00005275741,0.0002162221,0.000004375074,0.0006074809,0.0001731176,0.07823465,0.00007982708,0.003834511,0.005149707],"study_design_scores_gemma":[0.002664483,0.0001766846,0.9482049,0.00004901877,0.0005488047,0.00002168227,0.0007026769,0.03028147,0.01159041,0.00003246213,0.005530681,0.000196688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898551,0.00005629123,0.003711057,0.002663204,0.0001413145,0.002855749,0.00003080817,0.00008234728,0.0006041614],"genre_scores_gemma":[0.9940214,0.000006940772,0.004953108,0.0002224916,0.0002002698,0.0003526598,0.0001204744,0.00002695193,0.00009570756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06664424,"threshold_uncertainty_score":0.3870571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436751964164231,"score_gpt":0.2989672375835832,"score_spread":0.2745997179419409,"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."}}