{"id":"W3126515729","doi":"10.3390/genes12020258","title":"Population Genomics of American Mink Using Whole Genome Sequencing Data","year":2021,"lang":"en","type":"article","venue":"Genes","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Dalhousie University","funders":"","keywords":"Genomics; Mink; Biology; Whole genome sequencing; Genome; Genetics; Population genomics; American mink; Personal genomics; Computational biology; Population; DNA sequencing; Evolutionary biology; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00007557024,0.00008994201,0.0001312129,0.00001768452,0.00004692048,0.00001000718,0.0002216985,0.00005085783,0.00001042484],"category_scores_gemma":[0.00002614487,0.00009803903,0.00003381194,0.00008077437,0.00006210719,0.000002975957,0.0002411732,0.00003108992,0.000002165432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001499249,"about_ca_system_score_gemma":0.000150023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001236546,"about_ca_topic_score_gemma":0.00007351028,"domain_scores_codex":[0.9992664,0.00004064514,0.0001777348,0.0003000745,0.00007461468,0.0001405286],"domain_scores_gemma":[0.9991505,0.000005251341,0.0001014044,0.0006404435,0.00006215741,0.00004031507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008251715,0.00001316989,0.005741145,0.00001612892,0.00003423063,6.080218e-7,0.0000482305,0.006252211,0.9818258,0.00007500579,0.00002497554,0.005960186],"study_design_scores_gemma":[0.0005855394,0.0002854109,0.3317844,0.00002724576,0.0001661128,0.0001069988,0.001263122,0.00125926,0.6157485,0.001037946,0.04705587,0.0006796109],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981557,0.002469664,0.01549927,0.00002558078,0.0001165117,0.00005335841,0.0001552505,0.000004523959,0.0001189103],"genre_scores_gemma":[0.8574755,0.0000697924,0.1408008,0.00006980885,0.0002564906,0.000001017106,0.001153416,0.00001590199,0.0001573294],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3660773,"threshold_uncertainty_score":0.3997916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04421271598758867,"score_gpt":0.2819882333518147,"score_spread":0.2377755173642261,"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."}}