{"id":"W4406628794","doi":"10.3390/ani15020277","title":"Application of Genomic Selection in Beef Cattle Disease Prevention","year":2025,"lang":"en","type":"review","venue":"Animals","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Washington State University","keywords":"Biotechnology; Biosecurity; Genomics; Disease; Antibiotic resistance; Biology; Identification (biology); Risk analysis (engineering); Business; Genome; Medicine; Genetics","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":[0.001088222,0.0009777197,0.001443743,0.002245678,0.0002204155,0.001091294,0.00110063,0.001589654,0.004023136],"category_scores_gemma":[0.001208692,0.0002649212,0.0007311748,0.001925971,0.0006575928,0.001063526,0.0006945785,0.001661692,0.001523616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008054333,"about_ca_system_score_gemma":0.0008981559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303458,"about_ca_topic_score_gemma":0.001415661,"domain_scores_codex":[0.9997242,0.0000722326,0.00002929652,0.00006480003,0.00008192383,0.00002753085],"domain_scores_gemma":[0.999393,0.0003864318,0.00006121856,0.00001791537,0.0001010428,0.00004039664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009725751,0.00007362509,0.0001975694,0.01208499,0.0001243722,0.0001895202,0.00004444992,0.0006159842,0.001628513,0.005546156,0.01375565,0.965642],"study_design_scores_gemma":[0.00002559848,0.0001405921,0.0009883561,0.003739655,0.0001743576,0.0008871031,0.00005111225,0.0001783441,0.0007518135,0.003452023,0.9895838,0.00002723268],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001157855,0.9983203,0.0003183043,0.0002328911,0.0001599243,0.00000428048,0.00001813841,0.000007792461,0.0008226396],"genre_scores_gemma":[0.001045422,0.9975587,0.0004496188,0.0002361411,0.0001355408,0.000007167463,0.00003568878,0.000002404782,0.0005292746],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004023136,"threshold_uncertainty_score":0.01345873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01722989517908847,"score_gpt":0.3156381796778099,"score_spread":0.2984082844987215,"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."}}