{"id":"W2944954364","doi":"","title":"ВЛИЯНИЕ КЛИМАТИЧЕСКИХ ФАКТОРОВ НА РАЗВИТИЕ И ФОРМИРОВАНИЕ ХОЗЯЙСТВЕННО ЦЕННЫХ ПРИЗНАКОВ ОВСА","year":2014,"lang":"ru","type":"article","venue":"Siberian Herald of Agricultural Science","topic":"Agricultural Productivity and Crop Improvement","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chaff; Agronomy; Growing season; Productivity; Cultivar; Geography; Environmental science; Horticulture; Biology; 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":[0.0005763683,0.0002630336,0.0003303798,0.001344864,0.001044335,0.001756318,0.0002706184,0.0005213455,0.007695207],"category_scores_gemma":[0.0008978992,0.0004025832,0.000402482,0.001225708,0.0008089996,0.0007000577,0.0005831551,0.0009854949,0.003297271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000806304,"about_ca_system_score_gemma":0.001331193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004006498,"about_ca_topic_score_gemma":0.006886764,"domain_scores_codex":[0.9995003,0.0000572148,0.00003409935,0.0001195911,0.0002149954,0.00007394364],"domain_scores_gemma":[0.99964,0.0000672289,0.00005499941,0.00004952957,0.0001500777,0.00003817892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000279113,0.0001109644,0.006365775,0.0005983295,0.00005289778,0.001766581,0.003728666,0.002685524,0.5397682,0.0640514,0.00273053,0.377862],"study_design_scores_gemma":[0.00005400323,0.0005306532,0.03313304,0.0002195938,0.0001816169,0.003176195,0.003240495,0.003860957,0.3492539,0.0378202,0.5682547,0.0002746643],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5410005,0.03392391,0.1795452,0.001743876,0.001355121,0.000325864,0.00162815,0.000965708,0.2395117],"genre_scores_gemma":[0.8739098,0.01192367,0.07349661,0.0001085703,0.0001486101,0.0002952882,0.0004975981,0.000239676,0.0393802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007695207,"threshold_uncertainty_score":0.02574301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01031070578955504,"score_gpt":0.2042871800059461,"score_spread":0.1939764742163911,"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."}}