{"id":"W4391542984","doi":"10.3390/jcdd11020056","title":"The Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology","year":2024,"lang":"en","type":"article","venue":"Journal of Cardiovascular Development and Disease","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"BC Children's Hospital","keywords":"Epidemiology; Ethnically diverse; Inclusion (mineral); Genetic epidemiology; Underrepresented Minority; Biology; Medicine; Psychology; Population; Medical education; Pathology; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002810161,0.0001101075,0.0003808105,0.00009808155,0.0001520983,0.00001172949,0.000103408,0.00008972703,7.61613e-7],"category_scores_gemma":[0.0008329041,0.00007767847,0.0004157765,0.0001074654,0.0001054058,0.000005548769,0.0002861628,0.00009827572,2.625181e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002153295,"about_ca_system_score_gemma":0.0002552633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001141771,"about_ca_topic_score_gemma":0.00001021046,"domain_scores_codex":[0.9985009,0.0003790709,0.0005691468,0.0001935866,0.0001874237,0.0001698864],"domain_scores_gemma":[0.9993048,0.00009617505,0.0001031944,0.000236173,0.0001073992,0.0001522846],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002652248,0.0001095002,0.6132649,0.0003183222,0.009952825,0.0001222062,0.0007721289,0.03327698,0.0006502944,0.002642127,0.001703756,0.3369217],"study_design_scores_gemma":[0.000822504,0.00007474247,0.8490208,0.0001037885,0.0006137955,0.00008296995,0.0001975004,0.001524928,0.0001420555,0.01038932,0.1368189,0.0002086814],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5866206,0.4019758,0.01059574,0.0004714638,0.0001801095,0.00009757232,0.000002495376,0.000001907889,0.00005432002],"genre_scores_gemma":[0.9784459,0.01874643,0.002601828,0.00004100211,0.0001088679,0.000006118491,0.00001216073,0.000009967739,0.00002769104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3918254,"threshold_uncertainty_score":0.3167636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03673534457612813,"score_gpt":0.2990174609812187,"score_spread":0.2622821164050906,"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."}}