{"id":"W3203470094","doi":"10.1093/jas/skab235.026","title":"31 Gametic Incompatibility: Improving the Success of Mate Allocation in Dairy Cattle","year":2021,"lang":"en","type":"article","venue":"Journal of Animal Science","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 Guelph","funders":"","keywords":"Biology; Sire; Inbreeding; Offspring; Mating; Insemination; Genetics; Mendelian inheritance; Reproduction; Pedigree chart; Evolutionary biology; Pregnancy; Gene; Animal science; Demography; Population","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":[0.002212543,0.0002749804,0.0005075881,0.001245612,0.0006665873,0.0008531619,0.0006000237,0.0003775629,0.001685085],"category_scores_gemma":[0.003879133,0.0001146947,0.0004881523,0.001797172,0.0004228018,0.0003246033,0.0004020655,0.0004078705,0.0002335321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007052207,"about_ca_system_score_gemma":0.0006909638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02654059,"about_ca_topic_score_gemma":0.04314625,"domain_scores_codex":[0.9989925,0.000352103,0.00004624598,0.0003217012,0.0001367259,0.0001507108],"domain_scores_gemma":[0.9980453,0.0009820913,0.0004799117,0.0001342838,0.0002062717,0.0001520697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003311236,0.00003960052,0.9843057,0.00007349791,0.0003136451,0.000113146,0.0001240613,0.001051834,0.001742283,0.000137788,0.0006083953,0.01115888],"study_design_scores_gemma":[0.00002039063,0.00007614909,0.9930238,0.00002445602,0.0002223002,0.0001694584,0.0002046721,0.004087996,0.0005398218,0.0004394819,0.001176227,0.00001534023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953381,0.001252123,0.001076072,0.00007441823,0.000008937271,0.000006646698,0.001735101,0.00001677305,0.0004919094],"genre_scores_gemma":[0.9968348,0.0001914323,0.0007853022,0.00002944677,0.000008119784,0.000005693754,0.001974541,0.000007114459,0.0001634686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02654059,"threshold_uncertainty_score":0.05277222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01350224742799383,"score_gpt":0.2699007344140018,"score_spread":0.2563984869860079,"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."}}