{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328105,0.000795463,0.0005302995,0.002172155,0.004008606,0.01069825,0.001132886,0.002344511,0.0369836],"category_scores_gemma":[0.006199388,0.000731778,0.0008671142,0.001826562,0.008118942,0.006193926,0.003715924,0.003401053,0.0148155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004021294,"about_ca_system_score_gemma":0.006050647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006310652,"about_ca_topic_score_gemma":0.00574356,"domain_scores_codex":[0.9958755,0.001080002,0.0002103737,0.0007603973,0.001658254,0.0004154977],"domain_scores_gemma":[0.9969729,0.00073474,0.0003287552,0.0005586875,0.001054655,0.0003501892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000338662,0.0000268254,0.0005977749,0.0001579405,0.00001771148,0.0002369779,0.002877436,0.000400165,0.001601182,0.9524355,0.009040363,0.0325743],"study_design_scores_gemma":[0.00002107368,0.00004058016,0.001879249,0.000302529,0.00003094224,0.0004750026,0.003222733,0.0009010781,0.00281904,0.383528,0.6067054,0.00007437905],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01792609,0.00715126,0.08420653,0.01234153,0.001612194,0.0001528117,0.000485063,0.0004672931,0.8756573],"genre_scores_gemma":[0.5291823,0.01125482,0.09671921,0.002396454,0.001291767,0.0005759454,0.0007027621,0.0009796184,0.3568971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0369836,"threshold_uncertainty_score":0.1237225,"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."}}