{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001204696,0.0002346841,0.0003855577,0.001058705,0.0001907541,0.0005694214,0.000311706,0.0003269924,0.001956918],"category_scores_gemma":[0.005601507,0.0001057746,0.0003259286,0.001130077,0.0003295003,0.0003487808,0.0003324866,0.0005805325,0.0002578168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002200838,"about_ca_system_score_gemma":0.0002207646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001039127,"about_ca_topic_score_gemma":0.0009895755,"domain_scores_codex":[0.9994009,0.0002139985,0.0000995679,0.0001024118,0.0001087502,0.00007441768],"domain_scores_gemma":[0.9944239,0.001969593,0.002731414,0.0001741374,0.0002337075,0.0004672773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005097138,0.00004551171,0.9935414,0.0001052491,0.0002342732,0.00004287753,0.00002156497,0.0001085488,0.0001030742,0.00007064584,0.000211627,0.005005524],"study_design_scores_gemma":[0.00000771125,0.00007640226,0.9991371,0.00003451683,0.00006221183,0.0001321472,0.00001619264,0.0001224949,0.00003789115,0.0001203581,0.0002504119,0.000002600251],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823271,0.01258289,0.000291669,0.0008977405,0.00006314929,0.0000213495,0.001287552,0.00001342923,0.002515165],"genre_scores_gemma":[0.9967893,0.001869488,0.0001546005,0.0001258226,0.0001358671,0.00001731833,0.0007557218,0.000003145347,0.0001488152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001956918,"threshold_uncertainty_score":0.006546497,"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."}}