{"id":"W2994857772","doi":"10.1111/cob.12349","title":"Changes in the prevalence of chronic conditions associated with abdominal obesity between 1999 and 2014","year":2019,"lang":"en","type":"article","venue":"Clinical Obesity","topic":"Diet, Metabolism, and Disease","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Medicine; Waist; Abdominal obesity; Obesity; Dyslipidemia; Body mass index; National Health and Nutrition Examination Survey; Internal medicine; Diabetes mellitus; Blood pressure; Health examination; Metabolic syndrome; Demography; Endocrinology; Environmental health; Population","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":[0.0009102481,0.0002083941,0.0002969322,0.001223095,0.0001602199,0.0005191673,0.0005164263,0.0004200041,0.001880241],"category_scores_gemma":[0.002448931,0.0002679024,0.0008493982,0.001971226,0.0001347041,0.0005110024,0.0005476024,0.0005662919,0.0002405766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005843159,"about_ca_system_score_gemma":0.0005373724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02668256,"about_ca_topic_score_gemma":0.03453525,"domain_scores_codex":[0.9994107,0.0001104486,0.00009373796,0.0001651038,0.0001131208,0.0001068644],"domain_scores_gemma":[0.9985178,0.0001636246,0.0008441363,0.00007666224,0.0002964,0.00010133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002523919,0.00003568764,0.9950755,0.00006653261,0.0003282776,0.00002794869,0.00004042247,0.0001729846,0.0001208457,0.00005053417,0.0009759894,0.00285277],"study_design_scores_gemma":[0.000005443021,0.00002401848,0.9990767,0.00001188387,0.00005132766,0.00006447238,0.00005612045,0.0002262767,0.00003403497,0.00001495512,0.0004326164,0.000002292059],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780673,0.002424678,0.0003307522,0.000269284,0.00005544614,0.00003103461,0.01754759,0.00002241663,0.001251362],"genre_scores_gemma":[0.9866368,0.0006571073,0.0002721929,0.0001061498,0.00005069469,0.0000466813,0.01153633,0.000007023292,0.0006870357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02668256,"threshold_uncertainty_score":0.05305451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03219400079259224,"score_gpt":0.3425794166310755,"score_spread":0.3103854158384832,"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."}}