{"id":"W3045528293","doi":"","title":"ИСПОЛЬЗОВАНИЕ ХРЯКОВ КАНАДСКОЙ СЕЛЕКЦИИ ДЛЯ УЛУЧШЕНИЯ МЯСНЫХ КАЧЕСТВ СВИНЕЙ КРУПНОЙ БЕЛОЙ ПОРОДЫ","year":2018,"lang":"ru","type":"article","venue":"Инновации и продовольственная безопасность","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Purebred; Animal science; Carcass weight; Large white; Biology; Body weight; 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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","insufficient_payload"],"category_scores_codex":[0.001964051,0.002811497,0.002862685,0.0001715423,0.00413107,0.001011841,0.003490154,0.002600034,0.02110498],"category_scores_gemma":[0.00101608,0.001203195,0.001853018,0.003581412,0.00331177,0.0009821915,0.002174727,0.002075383,0.02022402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004451096,"about_ca_system_score_gemma":0.0001422091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001341007,"about_ca_topic_score_gemma":0.004032882,"domain_scores_codex":[0.9854616,0.001076446,0.002815289,0.003921604,0.002134207,0.004590889],"domain_scores_gemma":[0.9930515,0.001242653,0.001432936,0.001012508,0.001582216,0.001678247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001467012,0.00388273,0.07376391,0.0003107082,0.001984169,0.0005356462,0.002651727,0.00000850145,0.1094049,0.009795743,0.5499864,0.2462086],"study_design_scores_gemma":[0.001258893,0.004662594,0.2849683,0.0003751928,0.000443586,0.0001567095,0.002276869,0.00004740555,0.008155761,0.003064172,0.6914893,0.003101175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8289875,0.01662429,0.00008630847,0.01978903,0.008599961,0.002992213,0.001005117,0.00157436,0.1203412],"genre_scores_gemma":[0.9201642,0.004017333,0.0004900038,0.005964175,0.01730196,0.0002086585,0.0005501807,0.00004670113,0.05125675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2431074,"threshold_uncertainty_score":0.9994006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02950798235398951,"score_gpt":0.2227715359794262,"score_spread":0.1932635536254367,"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."}}