{"id":"W3005714821","doi":"","title":"АДАПТИВНОСТЬ СОРТОВ ЯРОВОЙ ПШЕНИЦЫ КРАСНОУФИМСКОГО СЕЛЕКЦЕНТРА И ИХ ЦЕННОСТЬ ДЛЯ СЕЛЕКЦИИ В ТЮМЕНСКОЙ ОБЛАСТИ","year":2016,"lang":"ru","type":"article","venue":"Вестник НГАУ (Новосибирский государственный аграрный университет)","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crop; Agronomy; Geography; Biology","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":[0.0004481772,0.0003281166,0.0003280603,0.001320251,0.001225472,0.002184309,0.0003597612,0.0007165475,0.0185112],"category_scores_gemma":[0.0008013109,0.0005646252,0.0004123169,0.001313107,0.001149679,0.0009778813,0.0008234215,0.001281825,0.007527498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009312562,"about_ca_system_score_gemma":0.001260277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003218905,"about_ca_topic_score_gemma":0.00568211,"domain_scores_codex":[0.9994988,0.00005429093,0.0000276762,0.0001176439,0.0002310054,0.00007053852],"domain_scores_gemma":[0.999629,0.00007144243,0.00006936135,0.00004627894,0.000142067,0.00004179215],"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":[0.0003139087,0.0001142408,0.003618676,0.0008399194,0.00005478187,0.002582883,0.002554883,0.002061415,0.2283911,0.2056086,0.01168669,0.5421729],"study_design_scores_gemma":[0.00004389629,0.0002037426,0.006366692,0.0001862525,0.00006310963,0.002630927,0.001077642,0.00154523,0.07372525,0.03084886,0.8831807,0.0001275915],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.18175,0.05263835,0.251521,0.004684567,0.00287309,0.000418626,0.001818065,0.001033128,0.5032633],"genre_scores_gemma":[0.6964353,0.02661705,0.1306354,0.0004776444,0.0004496083,0.00050791,0.0006852258,0.0004743904,0.1437175],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0185112,"threshold_uncertainty_score":0.06192613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801685566868975,"score_gpt":0.193137495665475,"score_spread":0.1751206399967853,"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."}}