{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006272442,0.0002216809,0.0002834087,0.0009131756,0.0005657527,0.00135961,0.00031817,0.0004324746,0.005444024],"category_scores_gemma":[0.000851967,0.0003884071,0.0002481101,0.0007897425,0.0007583943,0.00043025,0.0003920584,0.0006697995,0.001742041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006622182,"about_ca_system_score_gemma":0.001230313,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003772787,"about_ca_topic_score_gemma":0.006927446,"domain_scores_codex":[0.9994394,0.00007925904,0.00003025499,0.0001006352,0.0002659562,0.00008443875],"domain_scores_gemma":[0.9995483,0.00011193,0.0001079483,0.00005038569,0.00013986,0.00004154872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005364963,0.0002463265,0.009110279,0.0005207006,0.00005004315,0.0009454775,0.001566961,0.003227331,0.5870456,0.03447957,0.002242473,0.3600287],"study_design_scores_gemma":[0.0001528138,0.001295224,0.04526521,0.0002265884,0.0002208393,0.002620755,0.001845876,0.007062793,0.6176414,0.01329973,0.3100496,0.0003192094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7296739,0.03666724,0.1039466,0.001260496,0.0006541892,0.0002561735,0.0006879911,0.0002996045,0.1265537],"genre_scores_gemma":[0.9156805,0.009682407,0.04983916,0.00009962953,0.0000854196,0.0002482018,0.0002551141,0.00007638911,0.02403308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9962272,"threshold_uncertainty_score":0.01821208,"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."}}