{"id":"W3110759104","doi":"10.3389/fneur.2020.579733","title":"Outcome Predictors of Stroke Mortality in the Neurocritical Care Unit","year":2020,"lang":"en","type":"article","venue":"Frontiers in Neurology","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"Nazarbayev University","keywords":"Medicine; Stroke (engine); Glasgow Coma Scale; Neurointensive care; Atrial fibrillation; Intracerebral hemorrhage; Coma (optics); Mortality rate; Intensive care unit; Cerebral edema; Internal medicine; Emergency medicine; Intensive care medicine; Surgery","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":[0.0005819153,0.0002944154,0.0003190569,0.0007302981,0.000538933,0.0007823712,0.0004053127,0.000328243,0.00155464],"category_scores_gemma":[0.003705101,0.0001627626,0.0003110707,0.000838019,0.0003377694,0.0003366381,0.0006346739,0.0007026487,0.0001744874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006348526,"about_ca_system_score_gemma":0.0006871939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003744349,"about_ca_topic_score_gemma":0.004620763,"domain_scores_codex":[0.9994049,0.0001899909,0.00008093441,0.00006778659,0.00008859032,0.0001678366],"domain_scores_gemma":[0.997276,0.0004303468,0.001369633,0.00006287028,0.0002973253,0.0005638051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005997812,0.00001409951,0.9993348,0.000005512408,0.000020793,0.00006041574,0.00002722795,0.00002785198,0.00003332197,0.000006231027,0.00006604675,0.0003437264],"study_design_scores_gemma":[0.000005170843,0.00006613637,0.9992059,0.00001159784,0.00001909585,0.0002351368,0.0001669489,0.0001746402,0.00004007126,0.00002331358,0.00004919348,0.000002830665],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999522,0.0001948062,0.00002380277,0.0000582148,0.000005030243,0.000003070331,0.00006213308,0.000001334803,0.0001297557],"genre_scores_gemma":[0.9998234,0.00003701513,0.00001428521,0.00001145677,0.000008043246,0.000002169245,0.00008901614,3.579946e-7,0.00001433709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003744349,"threshold_uncertainty_score":0.007445157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03064253684868461,"score_gpt":0.2887116945743093,"score_spread":0.2580691577256247,"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."}}