{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008052779,0.000229159,0.0002505386,0.0009466458,0.0002801137,0.0004664155,0.000229573,0.0002047676,0.0007020065],"category_scores_gemma":[0.0009646808,0.0001227711,0.0003404717,0.001149721,0.0001405079,0.0002832127,0.000249894,0.0002508417,0.000138518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004971194,"about_ca_system_score_gemma":0.0004560276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02431188,"about_ca_topic_score_gemma":0.05703101,"domain_scores_codex":[0.9998184,0.00004234385,0.000009371007,0.00008382171,0.00002777311,0.00001824166],"domain_scores_gemma":[0.9997362,0.00009724258,0.00005374482,0.00003225084,0.00005861008,0.00002187967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005845805,0.0001388958,0.4431332,0.0003596548,0.001039854,0.0005683714,0.002031457,0.0263061,0.316782,0.002572612,0.001559615,0.2049236],"study_design_scores_gemma":[0.00001625228,0.00007623049,0.9690334,0.00003410175,0.0001783386,0.0002205533,0.0005096606,0.01501511,0.00578427,0.001492594,0.007612198,0.00002733044],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745902,0.0007758436,0.01999938,0.0001137034,0.00001047599,0.00003169046,0.002846752,0.00008624349,0.001545674],"genre_scores_gemma":[0.957974,0.0007541352,0.03168702,0.00007944351,0.0000156926,0.000053483,0.008382098,0.0000411516,0.001013037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431188,"threshold_uncertainty_score":0.04834074,"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."}}