{"id":"W2120142067","doi":"","title":"Managing genetic recessives in Canadian Holsteins","year":2008,"lang":"en","type":"article","venue":"Bulletin - International Bull Evaluation Service/Interbull bulletin","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Biology; Pedigree chart; Population; Animal science; Genetics; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002737642,0.0007217237,0.0004083478,0.00311266,0.00612877,0.001551566,0.002537241,0.0007270798,0.003953225],"category_scores_gemma":[0.003707933,0.000252136,0.0002870675,0.002617507,0.001342096,0.0005690044,0.001574214,0.0007371458,0.0006316319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02636566,"about_ca_system_score_gemma":0.05567006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9636791,"about_ca_topic_score_gemma":0.9874056,"domain_scores_codex":[0.9975152,0.00019325,0.00007666352,0.0004072157,0.001202738,0.0006050134],"domain_scores_gemma":[0.9970476,0.0002366501,0.0003722158,0.0001599486,0.001473203,0.000710363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007109667,0.0004275879,0.2321654,0.0003305423,0.000125367,0.008300471,0.0100101,0.002431394,0.03378922,0.01099205,0.06441812,0.6362988],"study_design_scores_gemma":[0.0001370807,0.0004059673,0.4966089,0.000473907,0.000381427,0.006634219,0.0124757,0.005353474,0.01655575,0.003378404,0.4573109,0.0002842101],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734649,0.007902492,0.01352684,0.01031318,0.0004698319,0.000577173,0.00333191,0.001226862,0.08918673],"genre_scores_gemma":[0.9029722,0.006590317,0.0195808,0.001938828,0.00009976876,0.00009191348,0.003107035,0.0002788896,0.06534031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03632087,"threshold_uncertainty_score":0.1912972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221524663851933,"score_gpt":0.269091456340511,"score_spread":0.2468762097019917,"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."}}