{"id":"W4283011294","doi":"10.3389/fgene.2022.862838","title":"Genetic Characterization and Population Connectedness of North American and European Dairy Goats","year":2022,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Forschungsinstitut für biologischen Landbau; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Ministry of Agriculture, Food and Rural Affairs; Berner Fachhochschule; Ontario Ministry of Agriculture, Food and Rural Affairs; Ontario Agri-Food Innovation Alliance; European Commission; University of Bern","keywords":"Biology; Population; Context (archaeology); Genetic diversity; Breed; Livestock; Biotechnology; Genetics; Demography; 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":[0.00008146845,0.0001094918,0.0001416416,0.00006720608,0.0000718888,0.000007637308,0.0001107488,0.0000199927,0.000002493556],"category_scores_gemma":[0.00001333475,0.0001290522,0.00001652995,0.0001386612,0.0001243625,0.000001844884,0.0001721736,0.00007019199,1.109131e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009296868,"about_ca_system_score_gemma":0.00001895418,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001641566,"about_ca_topic_score_gemma":0.00003108537,"domain_scores_codex":[0.9991239,0.0001616818,0.0002132684,0.0002654195,0.00009895831,0.0001368239],"domain_scores_gemma":[0.999617,0.000004343943,0.000125565,0.0001808347,0.00002255854,0.00004968881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004261606,0.00004018001,0.9118522,0.0000181234,0.00001654427,6.580486e-7,0.0002122663,0.001486465,0.006499061,0.00001626526,0.00008772073,0.07972788],"study_design_scores_gemma":[0.0003182107,0.0003696028,0.996543,0.000002696149,0.00001587355,0.000008417829,0.0001279301,0.0002954621,0.0004447815,0.00006186948,0.0016702,0.0001419505],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821826,0.0007757223,0.01649363,0.00001755033,0.0002598075,0.0001668922,0.00005896351,0.000005133591,0.00003967192],"genre_scores_gemma":[0.9718549,0.0002886515,0.02739409,0.00007276115,0.00006431139,0.00001067728,0.0002363283,0.00002226581,0.0000560361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08469079,"threshold_uncertainty_score":0.5262597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005094279012628116,"score_gpt":0.1936803952130355,"score_spread":0.1885861162004074,"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."}}