{"id":"W33762244","doi":"10.1136/bmjopen-2020-045504","title":"РЕСУРСЫ ВЛАГИ И УРОЖАЙНОСТЬ ПРОСА НА ЧЕРНОЗёМЕ ОБЫКНОВЕННОМ В СТЕПИ ОРЕНБУРГСКОГО ПРЕДУРАЛЬЯ","year":2009,"lang":"ru","type":"article","venue":"Известия Оренбургского государственного аграрного университета","topic":"Magnetic and Electromagnetic Effects","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Canadian Pain Society","keywords":"Moisture; Agricultural engineering; Water consumption; Environmental science; Agriculture; Water content; Water resource management; Agricultural science; Agricultural economics; Geography; Engineering; Economics; Meteorology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002914774,0.004995263,0.004071065,0.001255398,0.001950532,0.00131165,0.004806539,0.004343508,0.007476687],"category_scores_gemma":[0.001539599,0.005341677,0.002779581,0.002740951,0.001815228,0.0002176531,0.001497215,0.003538388,0.007028195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008701839,"about_ca_system_score_gemma":0.002628464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000698722,"about_ca_topic_score_gemma":0.0005277367,"domain_scores_codex":[0.9763707,0.00182493,0.00441235,0.006600369,0.003194829,0.007596822],"domain_scores_gemma":[0.9858901,0.0005196882,0.002091907,0.006780477,0.001340843,0.003376967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003784863,0.003922059,0.002863398,0.001144878,0.001775142,0.001277153,0.00132323,0.0003061183,0.4431463,0.00556722,0.2528862,0.2820034],"study_design_scores_gemma":[0.01514042,0.02539686,0.02630099,0.001220666,0.002455002,0.00204901,0.0008632405,0.00202566,0.1222438,0.005630652,0.7858529,0.01082086],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7359796,0.04657949,0.005009838,0.01528764,0.008656629,0.008131684,0.0007416404,0.001540817,0.1780727],"genre_scores_gemma":[0.9081511,0.007432571,0.004186139,0.01091,0.00680016,0.0003761481,0.002313863,0.0008205078,0.05900948],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5329667,"threshold_uncertainty_score":0.9997251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002852760737537231,"score_gpt":0.2211150016695698,"score_spread":0.2182622409320326,"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."}}