{"id":"W4375950747","doi":"10.3389/fgene.2023.1175408","title":"Population genomics of American mink using genotype data","year":2023,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph; University of Saskatchewan; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Department of Agriculture, Nova Scotia","keywords":"Mink; Biology; Genetic diversity; Population; Linkage disequilibrium; Genetics; Genetic variation; Single-nucleotide polymorphism; Evolutionary biology; Genetic structure; Genotype; Gene; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001684198,0.0001279844,0.0001954193,0.0001111077,0.00003410629,0.000007539517,0.0004770914,0.00009817967,0.000002636993],"category_scores_gemma":[0.00004230515,0.000145643,0.00003363362,0.0003166877,0.0001279973,0.00000249644,0.0002949814,0.00006438124,0.000002632303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000191503,"about_ca_system_score_gemma":0.00007722565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007485576,"about_ca_topic_score_gemma":0.00004304001,"domain_scores_codex":[0.9989355,0.00005206347,0.0002834756,0.000358439,0.0001234883,0.0002469932],"domain_scores_gemma":[0.9990171,0.000006716441,0.0001273396,0.0007628105,0.00003432425,0.00005168618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001398557,0.00008660523,0.7546204,0.0000682654,0.0001234693,0.000001687312,0.0002957378,0.08766267,0.08925611,0.0001324206,0.01031427,0.05729854],"study_design_scores_gemma":[0.0005733556,0.0003048605,0.953927,0.00001794138,0.00005983372,0.000004561018,0.0004880553,0.01797017,0.01168646,0.002059147,0.01249783,0.0004108001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585994,0.001111138,0.03929814,0.00001925428,0.000616341,0.0001567985,0.00009794298,0.00001043576,0.00009058182],"genre_scores_gemma":[0.6961628,0.0003363059,0.3026073,0.00003308011,0.0001611126,0.000002160851,0.0005771971,0.00002716113,0.00009285549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2633092,"threshold_uncertainty_score":0.5939147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915640589433222,"score_gpt":0.2801629291837564,"score_spread":0.2510065232894242,"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."}}