{"id":"W4405255396","doi":"10.25708/zt.2019.29.58.011","title":"ИМПОРТ ПЛЕМЕННОГО КРУПНОГО РОГАТОГО СКОТА В РОССИИ","year":2019,"lang":"ru","type":"article","venue":"Зоотехния","topic":"Animal Nutrition and Health","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004695573,0.0004556498,0.0006224299,0.00004593646,0.00046224,0.0002146432,0.0006399883,0.000485559,0.02820253],"category_scores_gemma":[0.00004844373,0.000217511,0.000381378,0.0006619192,0.0001707294,0.000293191,0.0002107958,0.0005734862,0.02459345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171183,"about_ca_system_score_gemma":0.00006309812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001067586,"about_ca_topic_score_gemma":0.0004811843,"domain_scores_codex":[0.9965766,0.0002002705,0.0006399837,0.0009028097,0.0005924479,0.001087855],"domain_scores_gemma":[0.9985391,0.0002311554,0.0002611451,0.0002396132,0.0001624749,0.0005664557],"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":[0.001174347,0.003143952,0.2539194,0.0009490775,0.0002173079,0.0001301968,0.001114751,0.0000100602,0.1423869,0.121315,0.3332482,0.1423908],"study_design_scores_gemma":[0.000845451,0.001521224,0.298834,0.0001931043,0.00003262253,0.0000243125,0.001659212,0.0001433802,0.0004083576,0.001419904,0.6942242,0.0006942262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8964106,0.002453023,0.00000218545,0.01825927,0.001597162,0.0008196251,0.0001877172,0.0002166033,0.08005384],"genre_scores_gemma":[0.9527066,0.001531961,0.00009468949,0.005953835,0.001636465,0.00001651956,0.000115068,0.000007726337,0.03793718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.360976,"threshold_uncertainty_score":0.976166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523213929494128,"score_gpt":0.243301371613539,"score_spread":0.2180692323185977,"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."}}