{"id":"W2575914067","doi":"10.1161/jaha.116.004990","title":"Post–Glucose Load Measures of Insulin Resistance and Prognosis of Nondiabetic Patients With Ischemic Stroke","year":2017,"lang":"en","type":"article","venue":"Journal of the American Heart Association","topic":"Acute Ischemic Stroke Management","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Internal medicine; Quartile; Hazard ratio; Diabetes mellitus; Insulin resistance; Stroke (engine); Odds ratio; Proportional hazards model; Population; Cardiology; Insulin; Confidence interval; Endocrinology","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":[0.0005733255,0.00008747797,0.000500921,0.00006148928,0.00006677246,0.00001356825,0.0001577926,0.00002799741,0.00000261198],"category_scores_gemma":[0.001523466,0.00005657515,0.0001176073,0.0000848039,0.0001501011,0.0001071336,0.00006425167,0.0001657127,4.469738e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002625909,"about_ca_system_score_gemma":0.0001221438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000599414,"about_ca_topic_score_gemma":0.00001327799,"domain_scores_codex":[0.9984998,0.00006358026,0.0003781033,0.00008470334,0.0008497081,0.0001241272],"domain_scores_gemma":[0.9962075,0.00009317028,0.002444664,0.0002600655,0.0009441061,0.00005052758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004974208,0.0001385423,0.9570121,0.00004149986,0.0003258032,6.519207e-7,0.0001697462,9.674771e-7,0.03365987,5.202302e-7,0.006483305,0.001669596],"study_design_scores_gemma":[0.001498242,0.0005240418,0.9579441,0.0002673012,0.000341224,0.000001814922,0.0000988168,0.000003711131,0.03754004,0.000002053313,0.001730161,0.0000485094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961072,0.0002118117,0.00000821595,0.002832223,0.00005440192,0.0002179854,0.00002416862,0.000002529662,0.0005414987],"genre_scores_gemma":[0.9977307,0.00008426965,0.001579363,0.0001858506,0.00004780506,0.000001902712,6.864108e-7,0.00001050014,0.0003588771],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004753144,"threshold_uncertainty_score":0.2307068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008702970392409002,"score_gpt":0.2415104392805764,"score_spread":0.2328074688881674,"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."}}