{"id":"W4405255580","doi":"10.25708/zt.2021.61.22.005","title":"ПЛЕМЕННАЯ ОЦЕНКА БЫКОВ-ПРОИЗВОДИТЕЛЕЙ ЗАРУБЕЖНОЙ СЕЛЕКЦИИ","year":2021,"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":"Computer science","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":[0.003411761,0.0006772527,0.0004126586,0.002861218,0.004117845,0.01201048,0.0009244939,0.002005561,0.03320012],"category_scores_gemma":[0.007406063,0.0005584751,0.0006929295,0.003276349,0.004058705,0.005029323,0.003609484,0.003017678,0.01558797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005258709,"about_ca_system_score_gemma":0.009189355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01081177,"about_ca_topic_score_gemma":0.01267854,"domain_scores_codex":[0.9940655,0.001501109,0.0003053591,0.0008176249,0.00264786,0.0006625911],"domain_scores_gemma":[0.995697,0.001034814,0.0004217632,0.0005991309,0.001690643,0.0005567455],"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":[0.0001040908,0.00008092816,0.005128514,0.0005756643,0.00004365056,0.0006024814,0.01211308,0.000878003,0.002795501,0.6907198,0.0480025,0.2389558],"study_design_scores_gemma":[0.00001663794,0.00004259223,0.004910592,0.0004133895,0.00003762858,0.0005809735,0.004699678,0.0005271895,0.001950585,0.06703021,0.9197143,0.000076165],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03583732,0.0142593,0.04617213,0.01949648,0.002247451,0.000224157,0.0007014288,0.0005982806,0.8804634],"genre_scores_gemma":[0.6402211,0.02234488,0.04937245,0.003243279,0.001563054,0.0004863777,0.001204301,0.000866157,0.2806984],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03320012,"threshold_uncertainty_score":0.1110654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04703004892117282,"score_gpt":0.2338021208163119,"score_spread":0.1867720718951391,"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."}}