{"id":"W2026038710","doi":"10.1371/journal.pone.0107548","title":"Association between Obesity and Cardiometabolic Health Risk in Asian-Canadian Sub-Groups","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Medicine; Odds ratio; Obesity; Body mass index; Demography; Odds; Ethnic group; Logistic regression; Acculturation; Asian Indian; Gerontology; Environmental health; Internal medicine; Population","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007896082,0.0005654055,0.0003449954,0.001349222,0.001926421,0.0007155819,0.0007780942,0.0003335019,0.001990353],"category_scores_gemma":[0.001367806,0.0002374958,0.000954252,0.0022584,0.0004208586,0.0002304063,0.0008776243,0.000485116,0.0001596546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0045673,"about_ca_system_score_gemma":0.007338122,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9626689,"about_ca_topic_score_gemma":0.9699475,"domain_scores_codex":[0.9994929,0.00004259913,0.00003678345,0.0001097973,0.0001691677,0.0001486659],"domain_scores_gemma":[0.9988882,0.00005437898,0.0002250213,0.0000576335,0.0005461304,0.0002286128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001002199,0.0000164125,0.9967477,0.00002234308,0.000157099,0.00003002894,0.0003198014,0.00003682171,0.000164268,0.0000437294,0.0002991168,0.002062478],"study_design_scores_gemma":[0.000004741863,0.00001006968,0.9990891,0.000009529568,0.00004808131,0.00004046081,0.0004539112,0.00009876545,0.00003690634,0.00001320055,0.0001903325,0.000004937109],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952015,0.0005312858,0.0001018348,0.0001184837,0.000007267059,0.00002438383,0.002542662,0.000007099503,0.001465494],"genre_scores_gemma":[0.9975935,0.0003101396,0.0002184687,0.0000488869,0.00000448523,0.00001784398,0.001390008,0.000003180438,0.0004135051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0373311,"threshold_uncertainty_score":0.07510185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808912178086584,"score_gpt":0.2125949617255267,"score_spread":0.1945058399446609,"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."}}