{"id":"W4394431785","doi":"10.6084/m9.figshare.14759550","title":"Additional file 1 of Multi-ethnic genome-wide association analyses of white blood cell and platelet traits in the Population Architecture using Genomics and Epidemiology (PAGE) study","year":2021,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Montreal Heart Institute","funders":"","keywords":"Genome-wide association study; Genomics; Biology; Genetic association; Population; Genetic architecture; Association (psychology); White (mutation); Genetics; Computational biology; Genome; Gene; Medicine; Genotype; Quantitative trait locus; Psychology; Single-nucleotide polymorphism; Environmental health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001714513,0.001227134,0.001433365,0.001888649,0.0009189362,0.00162364,0.002128782,0.001433252,0.5628101],"category_scores_gemma":[0.01830818,0.0006663856,0.001154572,0.003888919,0.0003916032,0.001176279,0.001169902,0.001237866,0.05591906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001111469,"about_ca_system_score_gemma":0.002161514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573036,"about_ca_topic_score_gemma":0.0269775,"domain_scores_codex":[0.9992747,0.0001514238,0.0001266473,0.0002346232,0.0000980588,0.0001146157],"domain_scores_gemma":[0.9885064,0.008380516,0.0008560644,0.0007945519,0.001007298,0.0004550634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004012369,0.0001108708,0.007669105,0.002889785,0.0001813596,0.0001125529,0.00008710679,0.0006385885,0.0001318766,0.001064701,0.982044,0.00466891],"study_design_scores_gemma":[0.01209573,0.0003878387,0.08135359,0.004244348,0.0009414941,0.001174319,0.0005912148,0.002473122,0.0009450199,0.01530535,0.8802782,0.0002096359],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001695709,0.00001512137,0.00007527498,0.00003108838,0.000005182064,0.00002105118,0.9994557,0.0000392397,0.00018771],"genre_scores_gemma":[0.005180063,0.00009686672,0.001244924,0.0002448279,0.000030254,0.0008288173,0.989987,0.0001599565,0.002227295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5628101,"threshold_uncertainty_score":0.6235983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07094687503424676,"score_gpt":0.3470942373748784,"score_spread":0.2761473623406316,"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."}}