{"id":"W4390655659","doi":"10.20944/preprints202401.0432.v1","title":"Inclusion of Underrepresented Populations in Cardiovascular Genetics and Epidemiology","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Epidemiology; Ethnically diverse; Inclusion (mineral); Genetic epidemiology; Face (sociological concept); Underrepresented Minority; Biology; Medicine; Psychology; Population; Medical education; Sociology; Environmental health; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.03770566,0.0004735317,0.001496205,0.00217423,0.004238135,0.005295188,0.001250344,0.001666539,0.009524446],"category_scores_gemma":[0.1278005,0.0003709918,0.0006603115,0.003260915,0.002773193,0.004173039,0.006796489,0.002699503,0.001667833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646957,"about_ca_system_score_gemma":0.00579403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007472428,"about_ca_topic_score_gemma":0.008276997,"domain_scores_codex":[0.9652449,0.02470153,0.002178458,0.002661871,0.003988171,0.001225027],"domain_scores_gemma":[0.9343265,0.03778036,0.007265599,0.01169588,0.005927052,0.003004669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006329786,0.0003849342,0.292446,0.00217186,0.0007061083,0.002036873,0.04890583,0.0009248379,0.002271706,0.1289238,0.1082012,0.4123939],"study_design_scores_gemma":[0.0002463085,0.0003575151,0.1704571,0.007347945,0.0007481099,0.003912557,0.03873831,0.002523936,0.003499796,0.3500248,0.4219588,0.0001848567],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4358111,0.02579208,0.1339813,0.2743039,0.01185769,0.001556296,0.01003031,0.0006829393,0.1059844],"genre_scores_gemma":[0.8231792,0.01279546,0.07859922,0.05545105,0.004955846,0.003299838,0.004900145,0.0004553833,0.01636377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03770566,"threshold_uncertainty_score":0.1994089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1805749380526043,"score_gpt":0.399878353467194,"score_spread":0.2193034154145896,"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."}}