{"id":"W4405295714","doi":"10.25708/zt.2019.82.69.001","title":"ПЛЕМЕННАЯ ЦЕННОСТЬ БЫКОВ-ПРОИЗВОДИТЕЛЕЙ ЧЕРНО-ПЕСТРОЙ ПОРОДЫ РАЗЛИЧНОГО ПРОИСХОЖДЕНИЯ","year":2019,"lang":"ru","type":"article","venue":"Зоотехния","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Population; Livestock; Animal science; Animal breeding; Biology; Geography; Demography; Forestry","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":[0.001942871,0.0007173728,0.0004625414,0.002344441,0.003595843,0.009030327,0.001061918,0.001749037,0.03932982],"category_scores_gemma":[0.005347525,0.0006057881,0.0007817373,0.002340423,0.005784616,0.004893154,0.003006027,0.002516639,0.01392073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004407566,"about_ca_system_score_gemma":0.007327629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009176678,"about_ca_topic_score_gemma":0.01010533,"domain_scores_codex":[0.9964018,0.0008360338,0.0001604993,0.0006448947,0.001548072,0.0004088029],"domain_scores_gemma":[0.997145,0.0007201324,0.0002737352,0.0004176995,0.001078153,0.000365243],"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":[0.0001101167,0.0000732425,0.003231799,0.0003185745,0.00003229936,0.0005146584,0.009478203,0.0009513135,0.003909586,0.8666119,0.01626087,0.09850743],"study_design_scores_gemma":[0.0000346214,0.00009155007,0.008298601,0.000410379,0.00006171079,0.0007910522,0.01004214,0.001432581,0.005550609,0.2829011,0.6902699,0.0001157186],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04760644,0.005935704,0.0568287,0.008879944,0.0008943981,0.000179148,0.0007523475,0.0003589069,0.8785644],"genre_scores_gemma":[0.619381,0.008594207,0.06332355,0.001395326,0.000505855,0.0004926322,0.0009818664,0.0005537207,0.3047718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03932982,"threshold_uncertainty_score":0.1315714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344919688153957,"score_gpt":0.2102962005022788,"score_spread":0.1868470036207392,"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."}}