{"id":"W4394091215","doi":"10.6084/m9.figshare.21516159.v1","title":"genotype data and GEBV value for GWAS and population genomic analyses","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Animal Disease Management and Epidemiology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Population; Biology; Statistics; Genotype; Data science; Geography; Genetics; Computer science; Single-nucleotide polymorphism; Demography; Mathematics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001939381,0.001575759,0.001818824,0.002387457,0.0008054129,0.001638218,0.001990397,0.002016659,0.05206494],"category_scores_gemma":[0.01286725,0.0006732916,0.001381107,0.006266757,0.000401571,0.0005530181,0.001060476,0.001600455,0.02708223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000770841,"about_ca_system_score_gemma":0.001478486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02117053,"about_ca_topic_score_gemma":0.03420807,"domain_scores_codex":[0.9984675,0.0003159323,0.0001971579,0.0006254211,0.000237359,0.0001566483],"domain_scores_gemma":[0.9957542,0.001742393,0.0005142347,0.001051667,0.0006732037,0.0002642738],"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":[0.0008378943,0.0001155483,0.0334856,0.001928165,0.0007928326,0.0003137391,0.0001275797,0.001916209,0.0009126632,0.001620387,0.9481065,0.009842996],"study_design_scores_gemma":[0.002334691,0.0001443183,0.1086026,0.001178814,0.0009193199,0.0008813333,0.0002369558,0.001905955,0.001257561,0.007788766,0.8746004,0.0001492957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001088062,0.00007680384,0.0002762149,0.00003595998,0.0000123718,0.00001625275,0.9980401,0.00009113241,0.0003630326],"genre_scores_gemma":[0.003357249,0.00005457311,0.0007936143,0.00006831723,0.00001036282,0.0002008474,0.9947544,0.00009646768,0.0006641413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05206494,"threshold_uncertainty_score":0.1741746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2637058607831103,"score_gpt":0.3648588040030799,"score_spread":0.1011529432199696,"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."}}