{"id":"W3099857046","doi":"10.15414/afz.2020.23.mi-fpap.233-240","title":"Breeding values prediction for clinical mastitis in Czech Holstein cattle","year":2020,"lang":"en","type":"article","venue":"Acta fytotechnica et zootechnica/Acta fytotechnica  et zootechnica","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Heritability; Trait; Repeatability; Biology; Herd; Genetic correlation; Random effects model; Population; Mastitis; Dairy cattle; Animal science; Ice calving; Lactation; Veterinary medicine; Statistics; Genetic variation; Mathematics; Genetics; Medicine; Pregnancy; Meta-analysis; Internal medicine","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":[0.002011364,0.0003129271,0.0003457525,0.001033707,0.0001954905,0.000613788,0.000368333,0.0002797052,0.001025622],"category_scores_gemma":[0.002733344,0.0002005204,0.000759907,0.0005315836,0.000193213,0.0001925397,0.0003360893,0.0002944132,0.000234101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000511081,"about_ca_system_score_gemma":0.0002945002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00553395,"about_ca_topic_score_gemma":0.006840197,"domain_scores_codex":[0.9991415,0.0002858432,0.00004734111,0.0003020598,0.0001200528,0.0001032341],"domain_scores_gemma":[0.9984969,0.0008016741,0.0003030539,0.0001729874,0.0001176918,0.0001076367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005586148,0.00008482527,0.9689847,0.00001608626,0.000350239,0.0001650568,0.00009573704,0.01158904,0.003799113,0.0002089052,0.0001490966,0.01399863],"study_design_scores_gemma":[0.00001068937,0.0001213327,0.9801061,0.00001000198,0.00008313656,0.00009592946,0.00004738732,0.01888355,0.0003925032,0.0001084714,0.0001310735,0.000009825854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976383,0.00009226416,0.001780435,0.00001138991,0.00000283469,0.00000452537,0.0002534895,0.00001686796,0.0001998648],"genre_scores_gemma":[0.9985574,0.00002460891,0.0007794632,0.000003465728,0.000001481366,0.000004317407,0.0004784014,0.000006624561,0.0001442387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00553395,"threshold_uncertainty_score":0.01100349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05285474707468642,"score_gpt":0.3332079648515102,"score_spread":0.2803532177768238,"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."}}