{"id":"W2290690496","doi":"10.1161/str.45.suppl_1.20","title":"Abstract 20: Relationship Between Physician Annual Volume And Stroke Mortality - Results From the Ontario Stroke Registry","year":2014,"lang":"en","type":"article","venue":"Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Institute for Clinical Evaluative Sciences","funders":"","keywords":"Medicine; Stroke (engine); Comorbidity; Emergency medicine; Cohort; Logistic regression; Mortality rate; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001109299,0.0001766804,0.0003168408,0.001666989,0.0005047558,0.0005853438,0.0005210109,0.0001697188,0.002775926],"category_scores_gemma":[0.0056433,0.0001990783,0.000388127,0.003202412,0.0001875217,0.0002463937,0.0004640938,0.0001579276,0.0004233648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005307808,"about_ca_system_score_gemma":0.006175205,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8273237,"about_ca_topic_score_gemma":0.8959278,"domain_scores_codex":[0.9985908,0.0001245863,0.0001718855,0.0001543942,0.0008063426,0.0001520053],"domain_scores_gemma":[0.9942464,0.0004961318,0.002463286,0.0002479483,0.002084604,0.0004616521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003656997,0.000006476528,0.9965335,0.00003024503,0.00003895155,0.00001962197,0.00005938587,0.00006312376,0.00005476751,0.00001191023,0.001723851,0.001421466],"study_design_scores_gemma":[0.000004271642,0.000003702811,0.9994851,0.000003598635,0.000009705673,0.00001384267,0.00001819822,0.00007253434,0.00001518432,0.000002406243,0.0003700407,0.000001292617],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9304568,0.0006039162,0.0003323642,0.0003213808,0.00001312056,0.0001100255,0.06203559,0.00006768977,0.006059169],"genre_scores_gemma":[0.968652,0.0003123517,0.0004745851,0.00005837115,0.00001701457,0.00009348815,0.02876571,0.00001308121,0.001613645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1726763,"threshold_uncertainty_score":0.3473865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03059216828382705,"score_gpt":0.27243600296286,"score_spread":0.241843834679033,"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."}}