{"id":"W2808119216","doi":"10.1007/s10900-018-0527-8","title":"South Asian Cardiovascular Disease &amp; Cancer Risk: Genetics &amp; Pathophysiology","year":2018,"lang":"en","type":"review","venue":"Journal of Community Health","topic":"Lipoproteins and Cardiovascular Health","field":"Medicine","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"Fraser Health","funders":"National Institute on Minority Health and Health Disparities; National Institute of Nursing Research; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Disease; Medicine; Population; Coronary artery disease; Ethnic group; Bioinformatics; Gerontology; Environmental health; Internal medicine; Biology","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":[0.0005471485,0.0005993559,0.0009009208,0.001475497,0.0002455963,0.0009431352,0.0004940847,0.0007380536,0.003307101],"category_scores_gemma":[0.00127972,0.0001652694,0.0004440988,0.001727006,0.0005105559,0.000752717,0.0007012209,0.001158795,0.0006172886],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004312459,"about_ca_system_score_gemma":0.001673782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002343879,"about_ca_topic_score_gemma":0.004280135,"domain_scores_codex":[0.9998578,0.00003114077,0.00002874256,0.00002622982,0.00004248681,0.00001363009],"domain_scores_gemma":[0.9995188,0.0002341516,0.00008763151,0.00001269259,0.0001067994,0.00004006076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007829432,0.00008591867,0.005463431,0.01627349,0.0004267749,0.0004997367,0.0001608645,0.0002039378,0.0005289942,0.006376265,0.03659114,0.9333112],"study_design_scores_gemma":[0.00003977214,0.00009981203,0.01134788,0.01248534,0.001293347,0.003579648,0.0003099114,0.0001354991,0.0003258714,0.007294596,0.9630502,0.0000381326],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003440159,0.9969133,0.0001050256,0.001177332,0.0003675181,0.000003769533,0.00002917374,0.000004836748,0.001054961],"genre_scores_gemma":[0.002389003,0.9956092,0.0001935984,0.0004816494,0.000646897,0.000005439769,0.0000418339,0.000001008203,0.0006313198],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003307101,"threshold_uncertainty_score":0.01106334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09519800451951858,"score_gpt":0.3865251681860999,"score_spread":0.2913271636665813,"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."}}