{"id":"W2160466427","doi":"10.1161/strokeaha.115.009463","title":"Serum Leptin Levels and the Risk of Stroke","year":2015,"lang":"en","type":"article","venue":"Stroke","topic":"Regulation of Appetite and Obesity","field":"Neuroscience","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Population Health Research Institute; University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute on Aging; U.S. Public Health Service","keywords":"Medicine; Leptin; Stroke (engine); Hazard ratio; Internal medicine; Quartile; Proportional hazards model; Waist; Waist–hip ratio; Incidence (geometry); Cohort; Body mass index; Obesity; Confidence interval","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":[0.0004783002,0.0002590644,0.0003324832,0.0004961724,0.0001462765,0.000525649,0.0001444267,0.0002997618,0.0008979573],"category_scores_gemma":[0.002121352,0.0001745961,0.0002189887,0.0005136937,0.000156772,0.0001441013,0.0001421899,0.0003406686,0.0001407375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002201812,"about_ca_system_score_gemma":0.000185765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001392401,"about_ca_topic_score_gemma":0.000972973,"domain_scores_codex":[0.9997419,0.00009805975,0.00002704323,0.00004707378,0.00005370004,0.00003224035],"domain_scores_gemma":[0.9989504,0.0002323313,0.0005387979,0.00003644346,0.0001093827,0.0001324917],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000985048,0.00005176582,0.9916358,0.00003819841,0.0003468924,0.0001574946,0.00002966099,0.0001855457,0.0008499132,0.0000485128,0.000159717,0.005511483],"study_design_scores_gemma":[0.00003674977,0.0002332344,0.9972035,0.00002178997,0.0001938629,0.0005992568,0.00003239934,0.0008437145,0.0002941461,0.0001993576,0.0003360542,0.000005958677],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948718,0.004177117,0.0001438792,0.0001518899,0.00001810935,0.000004093415,0.0001769143,0.000007463031,0.0004487008],"genre_scores_gemma":[0.9990583,0.0005627642,0.00009835447,0.00002392242,0.00002047834,0.000002538479,0.0001212162,0.000001025521,0.000111341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001392401,"threshold_uncertainty_score":0.003003895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124189540158231,"score_gpt":0.2669420142081964,"score_spread":0.2257001188066141,"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."}}