{"id":"W3082575318","doi":"10.1016/j.cell.2020.06.045","title":"Trans-ethnic and Ancestry-Specific Blood-Cell Genetics in 746,667 Individuals from 5 Global Populations","year":2020,"lang":"en","type":"review","venue":"Cell","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":731,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"Medical Research Council; National Institutes of Health; National Heart, Lung, and Blood Institute; National Centre for the Replacement, Refinement and Reduction of Animals in Research; Wellcome Trust; World Health Organization; Canadian Institutes of Health Research; U.S. Department of Veterans Affairs","keywords":"Biology; Genetics; Ethnic group; Genetic genealogy; Population genetics; Human genetics; Evolutionary biology; Population; Gene; Demography; Anthropology","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":[0.001245029,0.000820315,0.001586659,0.001462373,0.000156285,0.000751722,0.0006750945,0.000877572,0.002125665],"category_scores_gemma":[0.001583601,0.000265224,0.000631426,0.00232285,0.0004107646,0.0005572179,0.0005726792,0.001196464,0.000824131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004212174,"about_ca_system_score_gemma":0.00131177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00427742,"about_ca_topic_score_gemma":0.009005412,"domain_scores_codex":[0.9997326,0.00008453813,0.00004165081,0.00005487744,0.0000654383,0.00002100972],"domain_scores_gemma":[0.9992513,0.0005208316,0.00006651764,0.00001535757,0.000114589,0.00003144694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001958331,0.00003496292,0.00359677,0.01127951,0.0005600179,0.0001942017,0.00006206863,0.0001876492,0.0004206361,0.002512997,0.02859727,0.9523579],"study_design_scores_gemma":[0.0001329364,0.0002014663,0.03057125,0.01741309,0.002744333,0.002985804,0.000229759,0.0002145414,0.0006648243,0.006250559,0.9385082,0.0000832359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001830094,0.9987987,0.000121521,0.0003147639,0.0001139675,0.000002028086,0.00007559665,0.000004089882,0.0003863306],"genre_scores_gemma":[0.0009484811,0.9980178,0.0002257859,0.000227119,0.0001981085,0.000004924996,0.00009662054,0.00000139379,0.0002798113],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00427742,"threshold_uncertainty_score":0.008505046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09365587300422483,"score_gpt":0.343453226902066,"score_spread":0.2497973538978411,"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."}}