{"id":"W1481691163","doi":"10.1111/ijs.12168","title":"Body Mass Index and Acute Ischemic Stroke Outcomes","year":2013,"lang":"en","type":"article","venue":"International Journal of Stroke","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Body mass index; Overweight; Modified Rankin Scale; Hazard ratio; Confidence interval; Stroke (engine); Odds ratio; Internal medicine; Logistic regression; Proportional hazards model; Physical therapy; Ischemic stroke; Ischemia","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":[],"consensus_categories":[],"category_scores_codex":[0.0001476986,0.0001768609,0.000350721,0.0003334395,0.00002302143,0.00008055612,0.0003306453,0.00007795132,0.0005948627],"category_scores_gemma":[0.00010234,0.0001363631,0.0001895857,0.00004259788,0.00007595561,0.0003511604,0.0001385404,0.000368419,0.00005902776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001401982,"about_ca_system_score_gemma":0.00005892609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000262063,"about_ca_topic_score_gemma":4.647651e-7,"domain_scores_codex":[0.9982026,0.00001308842,0.0005444948,0.0001564333,0.0008814143,0.0002019449],"domain_scores_gemma":[0.9986253,0.0000710306,0.0003855939,0.0001543143,0.0005736717,0.0001900433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002446501,0.0001214377,0.6569201,0.00001534259,0.003600928,0.000396979,0.00007499956,0.000004552147,0.2510732,0.00008152637,0.07907499,0.008391287],"study_design_scores_gemma":[0.01052384,0.000548636,0.812104,0.0002343567,0.0007364435,0.002396187,0.0008222433,0.0008395258,0.04914217,0.0001241935,0.1221391,0.0003892334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9665782,0.0001294816,0.002386308,0.009276881,0.0007895079,0.0001868904,0.00003495432,0.00001942124,0.02059838],"genre_scores_gemma":[0.9822773,0.0001885757,0.004124511,0.001241516,0.0004507136,0.00000729507,0.000007000847,0.00002079608,0.01168226],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.201931,"threshold_uncertainty_score":0.6513329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008910652286960233,"score_gpt":0.2755792774892205,"score_spread":0.2666686252022603,"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."}}