{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01943853,0.0002797009,0.0003801024,0.001964375,0.0002351367,0.001177031,0.001226557,0.0005319062,0.001110058],"category_scores_gemma":[0.0761252,0.0002145731,0.0009262772,0.003095274,0.0005410487,0.001243117,0.001195973,0.0008458239,0.0003017333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000880469,"about_ca_system_score_gemma":0.001178444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01223399,"about_ca_topic_score_gemma":0.01026091,"domain_scores_codex":[0.9865319,0.008908959,0.0009344585,0.0009937492,0.002222382,0.0004085283],"domain_scores_gemma":[0.9181514,0.04064086,0.02579523,0.006680425,0.007013435,0.001718557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009819371,0.00002968559,0.9943879,0.00003613213,0.000183222,0.00002511107,0.0001275507,0.0003395468,0.000048887,0.0001163194,0.0011614,0.003445939],"study_design_scores_gemma":[0.000009091897,0.000107412,0.9961295,0.00005433139,0.00009416486,0.00007875756,0.0003534259,0.00194735,0.0001414229,0.0002014715,0.000874079,0.000009008512],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849416,0.0006167631,0.003915698,0.002042436,0.00005033631,0.00008828133,0.005064514,0.00007996284,0.003200338],"genre_scores_gemma":[0.9968385,0.00009837554,0.0007629358,0.0003878521,0.00003420069,0.00003304243,0.001689455,0.00002098405,0.0001348086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01943853,"threshold_uncertainty_score":0.1028019,"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."}}