{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002233668,0.0006800328,0.0007206852,0.0008506407,0.000781578,0.001164033,0.0004587638,0.0005423927,0.004188379],"category_scores_gemma":[0.003149444,0.0003179298,0.001191478,0.001773528,0.0005601299,0.0002971267,0.0009817895,0.0007148389,0.0004013096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001908523,"about_ca_system_score_gemma":0.0002674744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006008042,"about_ca_topic_score_gemma":0.006142474,"domain_scores_codex":[0.9986556,0.0005397042,0.00007535874,0.0005004108,0.0001220183,0.0001068843],"domain_scores_gemma":[0.9987929,0.0004306423,0.0001974617,0.0003527465,0.0001263402,0.00009995454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00143484,0.00003571438,0.9727314,0.0001210901,0.003926911,0.0006074334,0.0005742125,0.0009231974,0.005885746,0.0006166705,0.001618407,0.01152433],"study_design_scores_gemma":[0.0002823955,0.0002476089,0.9811814,0.00007066024,0.004734237,0.001294575,0.0008943031,0.001761947,0.002256583,0.001749876,0.005483299,0.00004313351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915012,0.0009890338,0.0029773,0.0001794538,0.00003199327,0.00002097606,0.003028345,0.00004871297,0.0012228],"genre_scores_gemma":[0.995475,0.0003348136,0.001523728,0.00009876008,0.00002751525,0.00002996103,0.00195089,0.00003333615,0.0005259958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006008042,"threshold_uncertainty_score":0.01401156,"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."}}