{"id":"W2607286764","doi":"10.17269/cjph.108.5761","title":"Diabetes among non-obese Filipino Americans: Findings from a large population-based study","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of Toronto","funders":"University of Toronto","keywords":"Medicine; Pacific islanders; Overweight; Diabetes mellitus; Obesity; Demography; Gerontology; Odds; Population; Odds ratio; Ethnic group; Logistic regression; Environmental health; Internal medicine; Endocrinology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.000760327,0.0007923017,0.0005835813,0.001403799,0.002241165,0.001516009,0.0007260543,0.00107281,0.001278474],"category_scores_gemma":[0.001699219,0.0006493271,0.0006873895,0.002443262,0.0006277033,0.0009018729,0.000824967,0.001119786,0.0003135776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008017691,"about_ca_system_score_gemma":0.0006548489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0720668,"about_ca_topic_score_gemma":0.09605891,"domain_scores_codex":[0.999418,0.000137864,0.00004863681,0.0001479075,0.00009742192,0.0001501041],"domain_scores_gemma":[0.999157,0.0001355135,0.0002198915,0.00009895959,0.0001550792,0.0002336313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001909125,0.0001892948,0.9978383,0.00001028598,0.0001051147,0.0001195678,0.0003862657,0.000006810543,0.0002713691,0.00001349749,0.0001278412,0.0007406886],"study_design_scores_gemma":[0.00001723677,0.00004380157,0.9987803,0.000005049708,0.00008498278,0.00006304666,0.0008637179,0.00002748081,0.00002102076,0.000008611374,0.00008013348,0.000004591537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990522,0.0001169199,0.00003654159,0.00005771492,0.000007549497,0.00001783722,0.0003139323,0.00000169042,0.0003955892],"genre_scores_gemma":[0.9990971,0.000143308,0.00006915456,0.00009492008,0.00001982891,0.00002642036,0.0003057475,0.00000210138,0.000241476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0720668,"threshold_uncertainty_score":0.1432946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03736030697298583,"score_gpt":0.2984481738820408,"score_spread":0.261087866909055,"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."}}