{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006442847,0.0002288627,0.0001568557,0.0002758281,0.0001249764,0.0001159518,0.00030863,0.0002001455,0.00001831153],"category_scores_gemma":[0.0007188777,0.0002442188,0.0000761054,0.0005307801,0.00007324974,0.00001497528,0.0002520767,0.0004429928,0.0001000828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008161949,"about_ca_system_score_gemma":0.0001360499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004107564,"about_ca_topic_score_gemma":0.00003612144,"domain_scores_codex":[0.9975605,0.000143763,0.0002926929,0.00100383,0.0004508487,0.000548369],"domain_scores_gemma":[0.9991996,0.00007909311,0.00003713422,0.0003845986,0.0001470231,0.0001525739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001987359,0.0000658147,0.0002127779,0.00003876007,0.00004458863,0.00003190176,0.0005405493,0.001925984,0.9782911,0.001176287,0.002165542,0.01530798],"study_design_scores_gemma":[0.0006468434,0.006163112,0.04140622,0.0006408924,0.00008993973,0.0001365603,0.002970706,0.0004560066,0.9209305,0.00291857,0.02260671,0.001033911],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.988194,0.002708525,0.003726505,0.001670557,0.000718195,0.0004434969,0.00001154666,0.00004030943,0.002486813],"genre_scores_gemma":[0.9740824,0.00003146382,0.02372576,0.0002913107,0.001491486,0.00006973155,0.00002379542,0.00006985015,0.0002142139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05736055,"threshold_uncertainty_score":0.9958953,"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."}}