{"id":"W4405295714","doi":"10.25708/zt.2019.82.69.001","title":"ПЛЕМЕННАЯ ЦЕННОСТЬ БЫКОВ-ПРОИЗВОДИТЕЛЕЙ ЧЕРНО-ПЕСТРОЙ ПОРОДЫ РАЗЛИЧНОГО ПРОИСХОЖДЕНИЯ","year":2019,"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":"Breed; Population; Livestock; Animal science; Animal breeding; Biology; Geography; Demography; Forestry","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","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009203535,0.0009406924,0.001159206,0.00006933177,0.0005727994,0.0002994757,0.001556996,0.001685717,0.03547224],"category_scores_gemma":[0.0002368765,0.0004494961,0.0006123322,0.001135228,0.0005297944,0.0004710106,0.0005710413,0.001373819,0.0222749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265553,"about_ca_system_score_gemma":0.0001201482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007902,"about_ca_topic_score_gemma":0.0004200468,"domain_scores_codex":[0.9940979,0.0005473604,0.001143142,0.001671254,0.0006964782,0.001843863],"domain_scores_gemma":[0.997353,0.0006873652,0.0005330066,0.0006087747,0.0002098543,0.0006080018],"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":[0.001106376,0.002806533,0.1475641,0.0004971494,0.0009173104,0.0002859197,0.001451212,0.00009771111,0.3077861,0.03070372,0.1771038,0.32968],"study_design_scores_gemma":[0.00173254,0.004251093,0.121956,0.0004133234,0.0001796385,0.0001502232,0.002405309,0.0006309284,0.007021134,0.003433948,0.8555391,0.002286704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9071187,0.002063287,0.000004210657,0.01681812,0.004753886,0.001087021,0.0002649657,0.0002561056,0.06763373],"genre_scores_gemma":[0.9336714,0.0003993785,0.0001061155,0.003080316,0.002811519,0.00003767446,0.0002555794,0.0000148132,0.05962326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6784353,"threshold_uncertainty_score":0.9997957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02344919688153957,"score_gpt":0.2102962005022788,"score_spread":0.1868470036207392,"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."}}