{"id":"W4376879813","doi":"10.1016/j.livsci.2023.105259","title":"Genetic parameters and multi-trait genomic prediction for hemoparasites infection levels in cattle","year":2023,"lang":"en","type":"article","venue":"Livestock Science","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Biology; Heritability; Anaplasmosis; SNP; Genetic correlation; Veterinary medicine; Trait; Babesiosis; Genotype; Tick; Genetics; Genetic variation; Single-nucleotide polymorphism; Virology; Gene; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003034407,0.0005666186,0.000435556,0.001054649,0.0003079136,0.0008046941,0.0003431051,0.0004962069,0.0009221059],"category_scores_gemma":[0.003837768,0.0002150056,0.0008490487,0.001023629,0.0003566441,0.0002905332,0.0003797658,0.0006484221,0.0001522339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003332988,"about_ca_system_score_gemma":0.0002904689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004501058,"about_ca_topic_score_gemma":0.004572534,"domain_scores_codex":[0.9989868,0.0005182617,0.0000356444,0.0003070543,0.00007022424,0.00008199277],"domain_scores_gemma":[0.9970065,0.00226981,0.0003471186,0.000167745,0.0001053292,0.0001035276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006551847,0.0001760044,0.8922014,0.00003910215,0.001084665,0.0003574931,0.000249711,0.06439934,0.008579778,0.0005544352,0.0001938119,0.03150898],"study_design_scores_gemma":[0.00002252433,0.000169852,0.7177073,0.00002822887,0.0002801052,0.000186733,0.0001383779,0.2790697,0.001058084,0.001065385,0.0002394909,0.00003424967],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923249,0.0001311754,0.007109235,0.00003550232,0.000002952676,0.000003720372,0.000239775,0.00003242483,0.0001201453],"genre_scores_gemma":[0.9973879,0.00003251027,0.002167924,0.000008362158,0.000003408625,0.000005574123,0.0002967274,0.000006803413,0.00009070101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004501058,"threshold_uncertainty_score":0.01604772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02873550408122225,"score_gpt":0.280808625928553,"score_spread":0.2520731218473308,"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."}}