{"id":"W102029170","doi":"","title":"Результаты использования импортных мясных пород свиней при скрещивании в Сибири","year":2012,"lang":"ru","type":"article","venue":"Achievements of Science and Technology in Agro-Industrial Complex","topic":"Animal Nutrition and Health","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Purebred; Crossbreed; Breed; Large white; Animal science; Biology; Animal breeding; Veterinary medicine; Medicine","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":[],"category_scores_codex":[0.003048172,0.0005031565,0.0008754003,0.0006638026,0.001129993,0.0001158048,0.001590368,0.0009068092,0.001005717],"category_scores_gemma":[0.000609403,0.0002945954,0.0001079147,0.005363647,0.005712457,0.0009425783,0.001003108,0.001059464,0.000113734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002382969,"about_ca_system_score_gemma":0.0002086019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009853613,"about_ca_topic_score_gemma":0.0002400888,"domain_scores_codex":[0.9946371,0.0001630666,0.001187398,0.0009638228,0.001142772,0.001905788],"domain_scores_gemma":[0.9979256,0.0002083729,0.0006083132,0.0003106578,0.0003892922,0.0005577104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000275195,0.002195248,0.5290977,0.00006589617,0.00005060338,0.00001266735,0.0003404676,3.698673e-7,0.2843819,0.05943049,0.00945101,0.1146985],"study_design_scores_gemma":[0.005407624,0.004907922,0.8588172,0.0005775368,0.0001109574,0.00006582314,0.0129315,0.0001369347,0.01744832,0.01064707,0.08738665,0.001562475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9692205,0.0009212706,0.000001896639,0.0253126,0.000845254,0.0009594862,0.0001114242,0.0001109306,0.002516648],"genre_scores_gemma":[0.9971348,0.0007235966,0.0002514655,0.0009127419,0.0006278517,0.00003016956,0.00003317906,0.000005762192,0.0002804527],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3297195,"threshold_uncertainty_score":0.9999506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106384336340897,"score_gpt":0.3063536546020424,"score_spread":0.1957152209679526,"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."}}