{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004602714,0.00006101682,0.0001602168,0.0001586364,0.0002022701,0.00007139644,0.00006568703,0.00003003381,0.00001913868],"category_scores_gemma":[0.006153906,0.00006259802,0.00001196609,0.001268867,0.0001383669,0.000936506,0.00009214209,0.0003278518,0.00002226303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004883728,"about_ca_system_score_gemma":0.0007061389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001291776,"about_ca_topic_score_gemma":0.0001088113,"domain_scores_codex":[0.9982996,0.0003610147,0.0001864383,0.000307098,0.0004228885,0.0004229693],"domain_scores_gemma":[0.9990598,0.0002502496,0.00007270255,0.0001509567,0.0001734771,0.0002927904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004532867,0.0003034277,0.9792927,0.00005910515,0.00001073837,0.00001545723,0.009310596,0.0000469061,0.0002329365,0.002430382,0.00004524816,0.008207203],"study_design_scores_gemma":[0.000447397,0.00007665166,0.9909092,0.00003298594,0.00001157306,0.000003480828,0.003075977,0.0002910477,0.000111072,0.0004996152,0.004488503,0.00005248763],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908368,0.000516225,0.0004978021,0.006552557,0.00001990201,0.0003160385,0.00001802687,0.00001189603,0.001230767],"genre_scores_gemma":[0.9979995,0.0001728641,0.001295558,0.0001584431,0.00001735496,0.00002092457,0.00006450329,0.000002454387,0.0002684064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01161654,"threshold_uncertainty_score":0.7367245,"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."}}