{"id":"W2570253000","doi":"","title":"Адаптивная реакция импортного скота голштинской породы на температурные условия среды","year":2016,"lang":"ru","type":"article","venue":"Известия Оренбургского государственного аграрного университета","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Morning; Evening; Animal science; Acclimatization; Biology; Ecology; Botany","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":[0.0003707308,0.0001470827,0.0001087018,0.001033666,0.001073883,0.0006776013,0.0002175397,0.0001717581,0.003199415],"category_scores_gemma":[0.0004914213,0.0001480395,0.0001658214,0.0008023928,0.0008141501,0.0001870098,0.0002532319,0.0002430597,0.0005265331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001604994,"about_ca_system_score_gemma":0.001957143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2139149,"about_ca_topic_score_gemma":0.4367697,"domain_scores_codex":[0.999725,0.00002330593,0.000006731742,0.00003687061,0.0001376712,0.00007045819],"domain_scores_gemma":[0.9997777,0.00003106955,0.00005950403,0.00001460363,0.00007146171,0.00004566811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005658813,0.0001442284,0.268517,0.0002429874,0.00007754652,0.00214359,0.009635742,0.00202039,0.1974747,0.01250451,0.001393004,0.5052805],"study_design_scores_gemma":[0.00001916848,0.00041649,0.9152598,0.00005094095,0.00007368583,0.001285289,0.004345753,0.0009106469,0.01439367,0.001502514,0.06168142,0.00006066413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796999,0.001267856,0.002491703,0.00009984359,0.00001353103,0.00003054947,0.0001898254,0.00001748516,0.01618931],"genre_scores_gemma":[0.9883398,0.001180169,0.004569467,0.00001628938,0.00001156066,0.00001829849,0.0001655372,0.000009356835,0.00568946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2139149,"threshold_uncertainty_score":0.4253395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04207314360377257,"score_gpt":0.2223271750885235,"score_spread":0.1802540314847509,"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."}}