{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004775474,0.0005554077,0.0007097097,0.00002600109,0.000629994,0.0002508042,0.0007236882,0.001077519,0.02682222],"category_scores_gemma":[0.0004270131,0.0002669241,0.0004345494,0.00105599,0.0004457783,0.0002375788,0.0004514084,0.0009068278,0.004034019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006589893,"about_ca_system_score_gemma":0.0001550311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002809425,"about_ca_topic_score_gemma":0.000564539,"domain_scores_codex":[0.9959683,0.0005162869,0.000766005,0.001135805,0.0004316835,0.001181874],"domain_scores_gemma":[0.9982062,0.0004629219,0.0002646247,0.0003549312,0.0002616256,0.0004497253],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002363819,0.002079052,0.02239106,0.0001875152,0.0005438409,0.001352713,0.0007483993,0.00002427886,0.3376504,0.02350062,0.2300804,0.3812054],"study_design_scores_gemma":[0.0007157111,0.0009491488,0.04904465,0.0002064958,0.0001297133,0.0002925371,0.001950548,0.0001624103,0.02869747,0.003019127,0.9137366,0.001095579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8657858,0.006780686,0.000009461379,0.05517792,0.004002413,0.0003840371,0.0003308513,0.0002035853,0.06732525],"genre_scores_gemma":[0.9328064,0.0007764847,0.0001427234,0.003928177,0.003221165,0.00002249553,0.0003355964,0.000007060911,0.0587599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6836563,"threshold_uncertainty_score":0.9999783,"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."}}