{"id":"W4383653166","doi":"10.1016/j.jstrokecerebrovasdis.2023.107236","title":"Association of co-morbidity with acute stroke mortality by age and time since stroke: A population-based study","year":2023,"lang":"en","type":"article","venue":"Journal of Stroke and Cerebrovascular Diseases","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Health Sciences Centre; Alberta Health; Sunnybrook Health Science Centre; South Health Campus; Foothills Medical Centre; McMaster University; Alberta Health Services; University of Toronto; Hamilton Health Sciences; Population Health Research Institute; University of Calgary","funders":"","keywords":"Medicine; Stroke (engine); Hazard ratio; Atrial fibrillation; Proportional hazards model; Intracerebral hemorrhage; Cohort; Internal medicine; Cohort study; Population; Confidence interval; Subarachnoid hemorrhage; Environmental health","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":[0.001014642,0.0006673415,0.0009595517,0.001546244,0.0009785985,0.001222821,0.0008491493,0.001550574,0.002214522],"category_scores_gemma":[0.002224999,0.001060748,0.001987467,0.002637806,0.0006621119,0.001494911,0.0009278604,0.001653444,0.0005053643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005477364,"about_ca_system_score_gemma":0.0005238056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01241948,"about_ca_topic_score_gemma":0.01358039,"domain_scores_codex":[0.9988703,0.0003298257,0.0001359297,0.0003183856,0.0001562324,0.0001892448],"domain_scores_gemma":[0.9979103,0.0003739576,0.0007340403,0.0002580022,0.0002406933,0.0004831005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000270051,0.0001190625,0.9987791,0.000006354158,0.0002873844,0.000061238,0.00004820631,0.00001919913,0.0001216935,0.000008621027,0.00005736549,0.0002217069],"study_design_scores_gemma":[0.00001305018,0.0001302638,0.9993244,0.000001979413,0.00007914757,0.0001225496,0.0001504024,0.000107066,0.00001340154,0.00001155485,0.00004087688,0.000005303351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988182,0.0002213077,0.00008657579,0.00004259596,0.00001093133,0.000009351988,0.000473149,0.000004353344,0.0003334172],"genre_scores_gemma":[0.999118,0.0001126669,0.00006034241,0.00003514777,0.00002412298,0.00001233992,0.0004658382,0.000002783444,0.0001686321],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01241948,"threshold_uncertainty_score":0.02469438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0098257907342841,"score_gpt":0.2656937882639251,"score_spread":0.255867997529641,"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."}}