{"id":"W2634364327","doi":"10.1161/circoutcomes.10.suppl_3.200","title":"Abstract 200: Is Risk-standardized In-hospital Stroke Mortality an Adequate Proxy for Risk-standardized 30-day Stroke Mortality Data? Findings From the GWTG-Stroke Program","year":2017,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Emergency medicine; Proxy (statistics); Mortality rate; Ischemic stroke; Pediatrics; 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":[0.0122471,0.000772288,0.002225789,0.0001347382,0.001258067,0.0006793296,0.001120788,0.0004533288,0.0001514068],"category_scores_gemma":[0.003883486,0.0006117467,0.00187907,0.0001283079,0.0005885604,0.001100007,0.0005881932,0.0008936548,0.0000134398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324664,"about_ca_system_score_gemma":0.000227939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005041342,"about_ca_topic_score_gemma":0.0002716758,"domain_scores_codex":[0.9924853,0.0007901007,0.001630537,0.001921143,0.002280994,0.0008919422],"domain_scores_gemma":[0.9907281,0.0006541925,0.001217736,0.006590261,0.000416116,0.0003935688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002316154,0.000345608,0.9503199,0.0001947346,0.01089439,0.00003397849,0.001018279,0.00008091718,0.00007171015,0.00007239364,0.0005707932,0.03616569],"study_design_scores_gemma":[0.01091863,0.0001158223,0.9674352,0.0000879567,0.004949843,0.000002082229,0.001124707,0.001824849,0.0002597836,0.0001650378,0.01242923,0.0006868435],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9552336,0.001278829,0.0143677,0.0009703786,0.0006619326,0.005904843,0.0206449,0.0002395828,0.0006982609],"genre_scores_gemma":[0.9946769,0.00048762,0.001939956,0.0002432154,0.0004928111,0.0004484034,0.001478604,0.00009005277,0.0001424541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03944331,"threshold_uncertainty_score":0.9996334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07710092881773048,"score_gpt":0.3770299593955477,"score_spread":0.2999290305778172,"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."}}