{"id":"W2982127552","doi":"10.1139/cjas-2019-0053","title":"Generation intervals in Canadian dairy cattle herds","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Animal Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Ghana Education Trust Fund","keywords":"Herd; Breed; Artificial insemination; Animal science; Brown Swiss; Dairy cattle; Biology; Selection (genetic algorithm); Geography; Pregnancy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001298286,0.0001333775,0.0001131867,0.001072961,0.0006937747,0.0005075441,0.0006560414,0.0001674134,0.001341662],"category_scores_gemma":[0.003025501,0.00009739158,0.0002002963,0.0008335964,0.0003272303,0.0001238621,0.0003317205,0.0002602733,0.0001165238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004747504,"about_ca_system_score_gemma":0.002920155,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7234279,"about_ca_topic_score_gemma":0.8673033,"domain_scores_codex":[0.9994609,0.00009677686,0.00001957396,0.0001319391,0.0001808192,0.0001099611],"domain_scores_gemma":[0.9988029,0.0003242961,0.0002612493,0.0001262419,0.0003448041,0.0001404513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004281474,0.00003352204,0.9465256,0.00003062079,0.0001077705,0.0002369006,0.001700691,0.002870167,0.003232366,0.001247412,0.001135534,0.0424512],"study_design_scores_gemma":[0.000005933537,0.00003168683,0.9968666,0.0000067948,0.00001574907,0.00006177041,0.0001989661,0.001296797,0.0001661681,0.0001075889,0.001230569,0.00001138314],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959096,0.0003189883,0.0005050642,0.00003530548,0.000003069285,0.00001697222,0.001319905,0.00002019297,0.001870911],"genre_scores_gemma":[0.9968346,0.0001530937,0.0007207897,0.00001631386,9.693639e-7,0.00001444256,0.001322026,0.000005643117,0.0009320682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2765721,"threshold_uncertainty_score":0.5564017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01841888950164844,"score_gpt":0.2537417717433389,"score_spread":0.2353228822416905,"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."}}