{"id":"W4395098322","doi":"10.5376/amb.2024.14.0004","title":"From GWAS to Breeding Practice: Genetic Research on Improving Milk Production in Cattle","year":2024,"lang":"en","type":"article","venue":"Animal Molecular Breeding","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome-wide association study; Milk production; Production (economics); Genomic selection; Dairy cattle; Biotechnology; Biology; Agricultural science; Animal science; Genetics; Single-nucleotide polymorphism; Genotype; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.005691126,0.0003746236,0.0005159515,0.001279852,0.0003946844,0.001317985,0.0004779939,0.0005910362,0.001543541],"category_scores_gemma":[0.009297913,0.0001765211,0.0003749809,0.002357308,0.0008744189,0.0008571082,0.0006290745,0.0006623514,0.0002230141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000417594,"about_ca_system_score_gemma":0.0009668786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001562894,"about_ca_topic_score_gemma":0.002851587,"domain_scores_codex":[0.9972885,0.001672138,0.0001292254,0.0004875027,0.0003358304,0.00008678931],"domain_scores_gemma":[0.9960384,0.002469944,0.0005835815,0.0003764888,0.0003429157,0.0001886223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000405228,0.0001604694,0.6413416,0.0009175309,0.001402017,0.0005291451,0.001270912,0.00165579,0.02267139,0.006942853,0.002626935,0.3200762],"study_design_scores_gemma":[0.00004950524,0.0004669859,0.9497999,0.0005272832,0.00086411,0.0006702848,0.0015865,0.004462582,0.003631745,0.01848707,0.01940855,0.00004543783],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8505667,0.0648597,0.0537002,0.0215825,0.0005520206,0.00006258181,0.001112495,0.0002196809,0.007344135],"genre_scores_gemma":[0.9583024,0.0164224,0.02105415,0.002610755,0.0003097673,0.00005173953,0.0003133196,0.0000369493,0.0008984786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005691126,"threshold_uncertainty_score":0.0300979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03660847440605361,"score_gpt":0.3416217851812754,"score_spread":0.3050133107752218,"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."}}