{"id":"W4376132879","doi":"10.1186/s12711-023-00793-3","title":"Characterization of the genetic pool of the Canadienne dairy cattle breed","year":2023,"lang":"en","type":"article","venue":"Genetics Selection Evolution","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Association for Co-operative Education; Université Laval; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","funders":"Novalait; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Breed; Biology; Inbreeding; Genetic diversity; Herd; Population; Dairy cattle; Runs of Homozygosity; Effective population size; Animal science; Genotype; Single-nucleotide polymorphism; Demography; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007648843,0.0002240149,0.0003318973,0.003170821,0.000729094,0.0008686557,0.0004866449,0.0003301807,0.001176097],"category_scores_gemma":[0.0008908873,0.0001115732,0.0002430041,0.002181314,0.0005097662,0.0002030657,0.0004941028,0.0003453809,0.0002411958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004722735,"about_ca_system_score_gemma":0.0003665286,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008670771,"about_ca_topic_score_gemma":0.01470526,"domain_scores_codex":[0.9993813,0.00008754797,0.00002393515,0.0002400394,0.0001668588,0.0001002742],"domain_scores_gemma":[0.9993036,0.000208514,0.0001526429,0.00006455724,0.0001668505,0.000103817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005018566,0.0001630143,0.8973261,0.00008541954,0.0003306895,0.0002799848,0.002096558,0.0006584935,0.07571308,0.0005474368,0.0001877899,0.02210954],"study_design_scores_gemma":[0.00000882416,0.0001280781,0.9944618,0.00001671089,0.00008412997,0.0003142924,0.0004842544,0.0007140877,0.001686056,0.000125224,0.00196481,0.00001153151],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980186,0.0002055404,0.0007302167,0.0000082743,0.000001591105,0.00001150992,0.0003752263,0.000004688987,0.0006444069],"genre_scores_gemma":[0.9953793,0.0001825277,0.002011126,0.00002522301,0.000007847817,0.0000241885,0.002027326,0.00000760733,0.0003347983],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9913293,"threshold_uncertainty_score":0.01724064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006778886938242529,"score_gpt":0.1954107057276079,"score_spread":0.1886318187893654,"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."}}