{"id":"W4387729230","doi":"10.1177/17474930231210397","title":"Association of multimorbidity with mortality after stroke stratified by age, severity, etiology, and prior disability","year":2023,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Clarendon Fund; Rhodes Scholarships; University of Oxford; Wolfson Foundation; Canadian Institutes of Health Research; National Institute for Health and Care Research; Wellcome Trust","keywords":"Medicine; Stroke (engine); Etiology; Internal medicine; Comorbidity; Atrial fibrillation; Depression (economics); Modified Rankin Scale; Population; Pediatrics; Ischemic stroke","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001773017,0.0004192287,0.0004017934,0.001127579,0.0004855502,0.0006726707,0.000557152,0.0005490952,0.003536002],"category_scores_gemma":[0.006139701,0.0003219948,0.0009713688,0.0009880419,0.000255029,0.0004535077,0.0009902153,0.0008171397,0.0003556893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004406665,"about_ca_system_score_gemma":0.0006378307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009125017,"about_ca_topic_score_gemma":0.009437507,"domain_scores_codex":[0.9990391,0.0002827449,0.0001487733,0.0002379671,0.0001194527,0.0001720517],"domain_scores_gemma":[0.9959943,0.0008413537,0.001940724,0.0003294842,0.0002822986,0.0006118527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007568453,0.00001351817,0.9991837,0.00000416303,0.00008683309,0.000008859246,0.00001029913,0.00004851229,0.00001754601,0.000008570706,0.00007305499,0.0004693203],"study_design_scores_gemma":[0.000005732177,0.00005373747,0.9987887,0.000005416191,0.00006070542,0.00007866121,0.00003530837,0.0008247376,0.00002693402,0.00004223123,0.00007423158,0.000003730077],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982972,0.0002661734,0.0002000834,0.0001036097,0.00001125577,0.000009570229,0.0007419014,0.000009926478,0.0003603508],"genre_scores_gemma":[0.9990795,0.00005372483,0.000109221,0.00001677049,0.00001648438,0.000008021654,0.0005542694,0.000002210337,0.0001598543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009125017,"threshold_uncertainty_score":0.01814383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01897288628714832,"score_gpt":0.3117389924783555,"score_spread":0.2927661061912071,"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."}}