{"id":"W2114439881","doi":"","title":"Obesity, overweight and ethnicity.","year":2005,"lang":"en","type":"article","venue":"PubMed","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":179,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Overweight; Obesity; Ethnic group; Body mass index; Demography; Medicine; Immigration; Logistic regression; Odds; Odds ratio; Population; Gerontology; Environmental health; Geography; Internal medicine; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000421477,0.0002553307,0.0001938256,0.0007222714,0.0005089745,0.0007193167,0.0001971941,0.0002312735,0.01015025],"category_scores_gemma":[0.001681273,0.00007099049,0.0001573915,0.001279599,0.0004132095,0.0003093067,0.000441842,0.0004163421,0.0009384629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004067215,"about_ca_system_score_gemma":0.001795616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05335284,"about_ca_topic_score_gemma":0.08738197,"domain_scores_codex":[0.9997199,0.00005372447,0.00002660878,0.00003296295,0.0001107186,0.0000561282],"domain_scores_gemma":[0.9994668,0.00006153924,0.0001845386,0.00001404277,0.0001417133,0.0001313531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002200479,0.0002426055,0.7114382,0.001018096,0.0001354491,0.0007343178,0.000865764,0.00008533154,0.0004724204,0.001513453,0.01913779,0.2641365],"study_design_scores_gemma":[0.000007662885,0.00003752268,0.9811048,0.0003756184,0.00005625999,0.001086525,0.0005711991,0.00003759644,0.0000580265,0.0005408332,0.01611766,0.000006239561],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6941562,0.1422618,0.001082785,0.02150007,0.002107146,0.0002093986,0.008810737,0.0001074066,0.1297645],"genre_scores_gemma":[0.9343923,0.04253554,0.0008373541,0.002067729,0.0005973475,0.0001420285,0.002470052,0.00001639358,0.01694119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05335284,"threshold_uncertainty_score":0.1060846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02986662267706873,"score_gpt":0.2906684068131095,"score_spread":0.2608017841360407,"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."}}