{"id":"W2763186472","doi":"10.1161/circoutcomes.117.003748","title":"Is Risk-Standardized In-Hospital Stroke Mortality an Adequate Proxy for Risk-Standardized 30-Day Stroke Mortality Data?","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Brain Institute; University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Emergency medicine; Proxy (statistics); Mortality rate; Ischemic stroke; Internal medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01274254,0.0006439764,0.002296753,0.0001916476,0.0009112612,0.0003676267,0.000750237,0.0003793215,0.0001033632],"category_scores_gemma":[0.003810138,0.000596154,0.00163581,0.0001176036,0.0004201791,0.001077129,0.0005521548,0.0005825132,0.00001044012],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00031668,"about_ca_system_score_gemma":0.000204384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001867609,"about_ca_topic_score_gemma":0.0001155717,"domain_scores_codex":[0.9931679,0.000919031,0.00144071,0.001787335,0.001935897,0.0007490807],"domain_scores_gemma":[0.9911815,0.0003011403,0.001121944,0.00655689,0.0004276646,0.0004108923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001777418,0.0002261545,0.9655653,0.0003514154,0.009413512,0.00003601715,0.000757089,0.0001245548,0.00004131351,0.0002154183,0.0002910295,0.02280043],"study_design_scores_gemma":[0.01249113,0.0001090263,0.9672108,0.00006309764,0.00481037,0.000003344358,0.0006869861,0.003456887,0.0002719375,0.0002706533,0.009954484,0.000671247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.91178,0.001130547,0.07233461,0.0006111459,0.0006670173,0.003602554,0.008531455,0.0001731653,0.001169531],"genre_scores_gemma":[0.9959238,0.0004621143,0.001761325,0.0002170297,0.0003770998,0.0002103996,0.0007601671,0.00007885459,0.0002092489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08414379,"threshold_uncertainty_score":0.999649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08899498780384954,"score_gpt":0.3825699211087074,"score_spread":0.2935749333048578,"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."}}