{"id":"W3000668058","doi":"10.1101/2020.01.17.910497","title":"Trans-ethnic and ancestry-specific blood-cell genetics in 746,667 individuals from 5 global populations","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Biology; Genetics; Genetic architecture; Genome-wide association study; Genetic association; Genetic genealogy; Ethnic group; Trait; Phenotype; Gene; Genotype; Population; Demography; Single-nucleotide polymorphism","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003595256,0.0004959411,0.0005996897,0.00007615233,0.0001201405,0.00009807158,0.0004672069,0.001055837,0.00002115868],"category_scores_gemma":[0.0001307947,0.000589619,0.0001413354,0.0003148923,0.0001586137,0.000005746893,0.0004471469,0.000495473,0.000009524872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007061463,"about_ca_system_score_gemma":0.0003799975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001470472,"about_ca_topic_score_gemma":0.00005809416,"domain_scores_codex":[0.9970344,0.0002849444,0.0007054108,0.001253556,0.0001980938,0.0005235522],"domain_scores_gemma":[0.9983394,0.00003383288,0.0003837506,0.000831914,0.0001416048,0.0002694556],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001450324,0.0001444914,0.5857171,0.00006204816,0.0001279492,0.00001293967,0.00001627446,0.0004763699,0.4128315,0.00006555863,0.0005164325,0.00001483791],"study_design_scores_gemma":[0.0008968476,0.0000781889,0.9746197,0.00005744876,0.0001416566,2.702903e-8,0.000007370901,0.0001565011,0.01791885,0.00006243703,0.005423581,0.0006373565],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713666,0.02310248,0.002435878,0.0004706048,0.0004850388,0.0004916148,0.001586736,0.00004805421,0.00001301788],"genre_scores_gemma":[0.9727547,0.00633314,0.01987967,0.0003105297,0.0005326066,0.0001006624,0.00002221223,0.00006408549,0.000002367186],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3949126,"threshold_uncertainty_score":0.9996555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398180914972013,"score_gpt":0.2706940422425901,"score_spread":0.2267122330928699,"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."}}