{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003718365,0.0001119393,0.0001684474,0.00005626022,0.0001644351,0.000009182399,0.0001872213,0.00005418048,0.000004817844],"category_scores_gemma":[0.00006572314,0.00012495,0.00003147883,0.0001387908,0.00008682135,0.000004850544,0.0001760968,0.00008994673,8.59049e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003911375,"about_ca_system_score_gemma":0.0001064185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916871,"about_ca_topic_score_gemma":0.0004746213,"domain_scores_codex":[0.9989669,0.0001510541,0.000228551,0.0003755575,0.0001001391,0.0001778377],"domain_scores_gemma":[0.9995544,0.00004091663,0.0001491401,0.0001751023,0.00004473533,0.00003572603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001318655,0.0000250504,0.002203079,0.00004114001,0.00002741884,1.061119e-7,0.0001862856,0.01477858,0.9788551,0.00001636716,0.000003766166,0.003731199],"study_design_scores_gemma":[0.00118739,0.001732702,0.6989716,0.000007930234,0.00008738955,0.00002726069,0.003504114,0.001593863,0.2788257,0.000446822,0.01312697,0.0004882372],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9754446,0.001721893,0.02205563,0.00002557616,0.00006427111,0.0003126392,0.0003580558,0.000006077673,0.00001124301],"genre_scores_gemma":[0.9864414,0.00002317572,0.01301473,0.00006016912,0.0001052713,0.000033525,0.0002594339,0.00001633537,0.0000460191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7000295,"threshold_uncertainty_score":0.5095314,"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."}}