{"id":"W3205505351","doi":"10.1002/osp4.570","title":"Relationships between adiposity distribution and metabolic health in preconception women in South Africa","year":2021,"lang":"en","type":"article","venue":"Obesity Science & Practice","topic":"Gestational Diabetes Research and Management","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Child Health and Human Development; Fogarty International Center; Canadian Institutes of Health Research; South African Medical Research Council","keywords":"Medicine; Distribution (mathematics); Obesity; Environmental health; Fat distribution; Body fat distribution; Demography; Internal medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002439012,0.0001694675,0.0001548326,0.0005444109,0.000422014,0.0003785912,0.0001563242,0.000205902,0.001720491],"category_scores_gemma":[0.001238849,0.0002546439,0.0001217431,0.0008440671,0.00022631,0.0002160355,0.0003128684,0.0003245553,0.0001008393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003212273,"about_ca_system_score_gemma":0.000318711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02379601,"about_ca_topic_score_gemma":0.02767504,"domain_scores_codex":[0.9998592,0.00003855873,0.00001090251,0.00003005547,0.00001808494,0.0000432437],"domain_scores_gemma":[0.9996979,0.0000648922,0.0001461466,0.00001099398,0.00002724501,0.00005283992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007486621,0.00002118401,0.9964809,0.00001873536,0.00001742985,0.0002134359,0.0007126663,0.00001809145,0.0003370214,0.00002854886,0.00007402329,0.002003058],"study_design_scores_gemma":[0.000003863345,0.00004791069,0.9978479,0.00002316231,0.000009588665,0.0002282065,0.001505311,0.00007713491,0.00004998842,0.00002996345,0.0001747263,0.000002255299],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99943,0.0001920182,0.00001669762,0.00005972354,0.000001949321,0.000003494176,0.00008688887,5.574459e-7,0.0002087477],"genre_scores_gemma":[0.9996932,0.0001384322,0.00002247976,0.00001232406,0.000001574507,0.000004546664,0.0000288883,3.851969e-7,0.00009837653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02379601,"threshold_uncertainty_score":0.047315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04635997606624299,"score_gpt":0.3370005040905132,"score_spread":0.2906405280242703,"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."}}