{"id":"W7117755334","doi":"10.62724/202540507","title":"СЕЛЕКЦИОННО-ГЕНЕТИЧЕСКАЯ ОЦЕНКА БЫКОВ-ПРОИЗВОДИТЕЛЕЙ ГЕРЕФОРДСКОЙ ПОРОДЫ В УСЛОВИЯХ СЕВЕРНОГО КАВКАЗА","year":2025,"lang":"","type":"article","venue":"Батыс Қазақстан инновациялық-технологиялық университетінің Хабаршысы","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":"Breed; Allele frequency; Population; Herd; Allele; Inbreeding; Animal breeding; Selective breeding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008498476,0.0002446376,0.0002896053,0.001329381,0.0009364577,0.002380598,0.000369163,0.0005568067,0.01657292],"category_scores_gemma":[0.001142301,0.0003839717,0.00027092,0.001382546,0.001136828,0.0007839052,0.0009533505,0.000925802,0.00679045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008590107,"about_ca_system_score_gemma":0.002026824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004174084,"about_ca_topic_score_gemma":0.006275924,"domain_scores_codex":[0.9989676,0.000148728,0.00005240016,0.0001713401,0.00054575,0.0001141116],"domain_scores_gemma":[0.9993522,0.0001349952,0.0001071915,0.0001121889,0.0002256856,0.00006784155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002006651,0.0001235689,0.006706182,0.0005079712,0.00004574785,0.001169864,0.002728773,0.001938339,0.04096615,0.163479,0.01650096,0.7656327],"study_design_scores_gemma":[0.0000430531,0.00018185,0.01348284,0.000209556,0.00006420302,0.002163396,0.001201022,0.001067512,0.01816211,0.03430331,0.9290243,0.00009682984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1829783,0.04605384,0.1616987,0.00611773,0.001558076,0.0003150198,0.001787083,0.001057077,0.598434],"genre_scores_gemma":[0.7938743,0.01965683,0.0760482,0.0003204204,0.0005344547,0.0002454758,0.0007418463,0.0002983017,0.1082803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01657292,"threshold_uncertainty_score":0.05544198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005743538633316761,"score_gpt":0.2465744918398041,"score_spread":0.2408309532064873,"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."}}