{"id":"W1967540850","doi":"10.1002/ajhb.20639","title":"<i>MGEA5</i>‐14 polymorphism and type 2 diabetes in Mexico City","year":2007,"lang":"en","type":"article","venue":"American Journal of Human Biology","topic":"Glycosylation and Glycoproteins Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Instituto Mexicano del Seguro Social; National Human Genome Research Institute; University of Toronto","keywords":"Odds ratio; Confidence interval; Type 2 diabetes; Allele frequency; Demography; Allele; Polymorphism (computer science); Hum; SNP; Genetics; Genotype; Biology; Medicine; Internal medicine; Diabetes mellitus; Single-nucleotide polymorphism; Gene; Endocrinology; History; Sociology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.0003696649,0.0002636786,0.0002836399,0.0009155954,0.0008336178,0.0005775052,0.0002203058,0.0004240133,0.002079099],"category_scores_gemma":[0.0008836801,0.0002524415,0.0002725623,0.0006721446,0.0002263215,0.0001203645,0.0003291132,0.0003480099,0.0001157199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960824,"about_ca_system_score_gemma":0.0001863769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01738651,"about_ca_topic_score_gemma":0.01698966,"domain_scores_codex":[0.9998437,0.00004929564,0.00001098198,0.00004682777,0.00002124616,0.00002789624],"domain_scores_gemma":[0.9996192,0.00006625504,0.0001917098,0.00002719329,0.00002895371,0.00006659661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007983748,0.0001032127,0.9929922,0.0000113742,0.0001434353,0.0007543457,0.0002604937,0.00005863991,0.002222571,0.00007095646,0.0002325781,0.00235178],"study_design_scores_gemma":[0.00005476473,0.0001008232,0.9983912,0.00001405452,0.00008415373,0.0006167755,0.0001334187,0.0001113102,0.0001423938,0.00002695421,0.0003205319,0.000003601572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995549,0.0001069593,0.00003574141,0.0000509612,0.000003197486,0.000002789463,0.00005173431,0.000002228379,0.0001914895],"genre_scores_gemma":[0.9992021,0.0001959408,0.000102989,0.00005655174,0.00001365448,0.000007220971,0.0001472461,0.00000312543,0.0002710859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01738651,"threshold_uncertainty_score":0.03457057,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313927808658803,"score_gpt":0.3073147203721817,"score_spread":0.2941754422855936,"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."}}