{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002373513,0.0001163684,0.00009229258,0.0001318314,0.0001604565,0.00003639907,0.0001583293,0.00007743589,0.000002181272],"category_scores_gemma":[0.0001223317,0.0001195679,0.00002997629,0.0003129339,0.0003294451,0.0000104729,0.00008852771,0.00005449983,0.000005872247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001901653,"about_ca_system_score_gemma":0.0001002842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000053997,"about_ca_topic_score_gemma":0.00006456722,"domain_scores_codex":[0.9989361,0.00002205262,0.000164517,0.000467327,0.0001021584,0.0003079111],"domain_scores_gemma":[0.9996033,0.00002689729,0.00004654281,0.0001930109,0.00004131428,0.0000889874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003380219,0.00006753702,0.2671869,0.00004392352,0.00001181137,3.423308e-7,0.0006557718,0.02564038,0.6959959,0.0003174055,0.0001842016,0.009862033],"study_design_scores_gemma":[0.0004290869,0.00037272,0.9862966,0.000009995942,0.000006976376,0.00001039591,0.00005217012,0.002011176,0.009691936,0.0007980957,0.0001895178,0.0001313423],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790026,0.0001260242,0.02002941,0.00003174202,0.0002456795,0.0004478347,0.00004019786,0.00002618173,0.00005031853],"genre_scores_gemma":[0.9419119,0.00002523303,0.05756665,0.00004793561,0.00006330342,0.00009694387,0.00001428369,0.00001189553,0.0002618159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7191097,"threshold_uncertainty_score":0.4875836,"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."}}