{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000923612,0.0001472301,0.0003471035,0.00005844786,0.00001725755,0.000004271297,0.0001478831,0.0001796041,0.00001112085],"category_scores_gemma":[0.00002769912,0.0001474193,0.0001568642,0.0001144463,0.00002435957,8.748993e-7,0.00005447942,0.00006897131,0.000009990687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001938186,"about_ca_system_score_gemma":0.0003023176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001280857,"about_ca_topic_score_gemma":0.00002021939,"domain_scores_codex":[0.9991359,0.00008134475,0.0003216593,0.0003014624,0.0000515483,0.0001080732],"domain_scores_gemma":[0.9995742,0.00001380701,0.0001725776,0.0001774686,0.00002867193,0.00003322319],"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":[0.00003410344,0.0001340016,0.0003156831,0.00888963,0.00007788674,7.747701e-8,0.000008975567,0.00007613864,0.001224045,0.002293244,0.0003563534,0.9865898],"study_design_scores_gemma":[0.0002299586,0.0002682903,0.02735977,0.002003297,0.0004685133,0.000002624594,0.000005128712,0.000003769448,0.000199353,0.001729247,0.9673983,0.0003317133],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001166471,0.9938977,0.00382568,0.000003152008,0.00004252936,0.0006381859,0.00004334173,0.000004718856,0.0003782338],"genre_scores_gemma":[0.005362474,0.9914311,0.001693968,0.000007621665,0.0001204601,0.0002040637,0.0003086334,0.00001757051,0.0008541121],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9862581,"threshold_uncertainty_score":0.6011584,"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."}}