{"id":"W4307237916","doi":"10.3390/genes13111939","title":"Genome-Wide Detection of Selection Signatures for Pelt Quality Traits and Coat Color Using Whole-Genome Sequencing Data in American Mink","year":2022,"lang":"en","type":"article","venue":"Genes","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph; Dalhousie University","funders":"Nova Scotia Mink Breeders Association; Canada Mink Breeders Association","keywords":"Coat; Biology; Genetics; Mink; Genome size; Genome; Evolutionary biology; 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":[0.000335925,0.0001925502,0.0002909775,0.0007286876,0.0002947367,0.0003563948,0.0001495516,0.0002314866,0.0004736457],"category_scores_gemma":[0.0004281766,0.0001396149,0.0003638822,0.0009660881,0.0002423419,0.0001359871,0.0003267574,0.0002262395,0.00009942238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314007,"about_ca_system_score_gemma":0.0002125671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005691501,"about_ca_topic_score_gemma":0.01626884,"domain_scores_codex":[0.9997666,0.00002630533,0.00001313577,0.0001267965,0.00003749239,0.00002961858],"domain_scores_gemma":[0.9996426,0.00008041887,0.000130204,0.0000314218,0.00004928492,0.00006593598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004990844,0.00005572366,0.8173721,0.0001070889,0.0004784528,0.0002431086,0.0009984601,0.000494901,0.1680209,0.00006929818,0.0002234282,0.0114374],"study_design_scores_gemma":[0.000002697362,0.00001622629,0.9988594,0.000002795629,0.00003701902,0.00005559642,0.0001038437,0.0001707142,0.0005027079,0.000008856869,0.0002377478,0.000002453066],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989574,0.00008431982,0.0001963479,0.000008886344,0.000001055585,0.00000389547,0.0006408746,0.000004488374,0.0001028007],"genre_scores_gemma":[0.9952041,0.0001067986,0.001060818,0.00003990963,0.000003632706,0.00001792405,0.003280085,0.000008738126,0.0002779892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005691501,"threshold_uncertainty_score":0.01131672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0389800173787279,"score_gpt":0.2932140789167139,"score_spread":0.2542340615379859,"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."}}