{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08342697,0.001016683,0.001532872,0.003990074,0.0005742999,0.003437989,0.002232363,0.0008449737,0.0008306024],"category_scores_gemma":[0.2572656,0.0005155071,0.001672149,0.00629841,0.001535201,0.003287421,0.002526504,0.001664098,0.0003975698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001128796,"about_ca_system_score_gemma":0.001581734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004199852,"about_ca_topic_score_gemma":0.005169906,"domain_scores_codex":[0.9137408,0.06502512,0.008584999,0.004877426,0.006681609,0.001090009],"domain_scores_gemma":[0.6953142,0.156948,0.08109812,0.04034119,0.02259347,0.003705028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002201193,0.00005197445,0.9823742,0.0002003701,0.001324347,0.00003214224,0.0004881102,0.00179541,0.0001190875,0.00123696,0.002134897,0.01002241],"study_design_scores_gemma":[0.00008230747,0.000686659,0.9464377,0.0007750096,0.0006128136,0.0004464947,0.001626272,0.03141677,0.001247386,0.008436704,0.008065279,0.0001667541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8786058,0.003783165,0.09694993,0.00417092,0.0006471192,0.0003635489,0.00782422,0.0003448886,0.007310429],"genre_scores_gemma":[0.9765172,0.0002663227,0.01938919,0.0005885765,0.0002104204,0.0002214538,0.002613594,0.00006272589,0.0001304488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08342697,"threshold_uncertainty_score":0.4412093,"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."}}