{"id":"W7115714386","doi":"10.35694/yarcx.2025.71.3.014","title":"Оценка по воспроизводительной способности коров герефордской породы","year":2025,"lang":"ru","type":"article","venue":"Vestnik APK Verhnevolzh`ia","topic":"Animal Nutrition and Health","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flock; Selection (genetic algorithm); Reproduction; Animal breeding; Dairy cattle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007699564,0.0009276833,0.001128804,0.0001960718,0.001587878,0.0004740401,0.001294575,0.0009331281,0.006503379],"category_scores_gemma":[0.0002520351,0.0005080655,0.0006325282,0.002265887,0.0005870498,0.0005501525,0.0005293772,0.001097278,0.004055619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485122,"about_ca_system_score_gemma":0.0002886342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002396136,"about_ca_topic_score_gemma":0.001749783,"domain_scores_codex":[0.9940041,0.0004215027,0.001354665,0.001583799,0.0008422037,0.001793747],"domain_scores_gemma":[0.9973946,0.000487297,0.0004361923,0.0004718283,0.0003669904,0.0008431522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001138992,0.002864382,0.05120679,0.0009441822,0.0003531079,0.0002054977,0.0005195655,0.000009810155,0.03198375,0.1250171,0.7173389,0.06841801],"study_design_scores_gemma":[0.001343413,0.001031632,0.2995247,0.0005778459,0.0001516298,0.00002459299,0.0009829934,0.0002858356,0.0007945677,0.006964874,0.6873379,0.0009800876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7698976,0.01518873,0.00007296995,0.07924501,0.005259309,0.002162604,0.0007121191,0.0009304374,0.1265312],"genre_scores_gemma":[0.9413176,0.004906442,0.0004362774,0.01349825,0.001773648,0.00008119967,0.0002724466,0.00001684316,0.03769729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2483179,"threshold_uncertainty_score":0.9997371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02373743475676223,"score_gpt":0.3023984762913187,"score_spread":0.2786610415345565,"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."}}