{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006981046,0.0002282127,0.0003020588,0.00112191,0.0002465394,0.0005178321,0.0002554625,0.000203407,0.0007329632],"category_scores_gemma":[0.001274794,0.0001635236,0.0003609847,0.001242915,0.0001439581,0.0002990154,0.0002584592,0.0002169503,0.0001911342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004000354,"about_ca_system_score_gemma":0.0002528587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01478229,"about_ca_topic_score_gemma":0.02189847,"domain_scores_codex":[0.9996425,0.0001066878,0.00001495982,0.0001610217,0.00005080654,0.00002399835],"domain_scores_gemma":[0.9996923,0.00011387,0.00005868329,0.00006158913,0.00005607123,0.00001744077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003348918,0.00007812578,0.7325841,0.000139026,0.000749521,0.0003542242,0.001065624,0.02349514,0.05020223,0.001526872,0.001061544,0.1884088],"study_design_scores_gemma":[0.00001022395,0.00004989216,0.9699681,0.00001830158,0.000121101,0.0002035199,0.0002918946,0.02086675,0.002563969,0.001586708,0.0042958,0.00002372701],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9724133,0.0003539077,0.02340453,0.00006970172,0.00000733625,0.00002746877,0.002300948,0.00009821038,0.001324596],"genre_scores_gemma":[0.9682716,0.0002705232,0.0250608,0.00004464925,0.00001192041,0.00004413471,0.005662314,0.00003022407,0.000603956],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01478229,"threshold_uncertainty_score":0.02939248,"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."}}