{"id":"W4377097591","doi":"10.3389/fgene.2023.1221683","title":"Corrigendum: Population genomics of American mink using genotype data","year":2023,"lang":"en","type":"erratum","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Guelph; University of Saskatchewan; Dalhousie University","funders":"","keywords":"Mink; Population genomics; Genomics; Genotype; Biology; Genetics; Population; Computational biology; Evolutionary biology; Genome; Medicine; Gene; Ecology; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00291413,0.002821758,0.002418414,0.003204312,0.003391259,0.003474598,0.003572928,0.005587638,0.1003947],"category_scores_gemma":[0.0336295,0.001562938,0.002441002,0.002583659,0.00234275,0.002584697,0.002549514,0.008395779,0.04875398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0037638,"about_ca_system_score_gemma":0.003982853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03327242,"about_ca_topic_score_gemma":0.05093245,"domain_scores_codex":[0.9971039,0.000560715,0.0004085359,0.0005741373,0.001133022,0.000219739],"domain_scores_gemma":[0.9843908,0.003629932,0.0006140512,0.001051622,0.009402156,0.0009113667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001425041,0.000003925518,0.00004486771,0.00007929571,0.00001078793,0.0001235144,0.00001950001,0.00004477384,0.00005857163,0.000450427,0.9949195,0.004230692],"study_design_scores_gemma":[0.00003217027,0.00001464936,0.001000069,0.0002501182,0.00004973225,0.0005208439,0.00005781952,0.0002895614,0.0003213545,0.001944918,0.9954665,0.00005232124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000101929,0.0009026974,0.001583075,0.03037477,0.9609867,0.00002127885,0.002036354,0.0006403609,0.003352681],"genre_scores_gemma":[0.01344592,0.01128214,0.0159885,0.1187095,0.4211421,0.0003818469,0.01319415,0.006546201,0.3993097],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1003947,"threshold_uncertainty_score":0.3358538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03693047219720837,"score_gpt":0.2786574684522407,"score_spread":0.2417269962550324,"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."}}