{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.002626244,0.001377713,0.001503178,0.0001157142,0.002463738,0.001044506,0.003545235,0.0005877314,0.002146066],"category_scores_gemma":[0.0007005238,0.0005512763,0.0007903188,0.004681945,0.002724559,0.002857797,0.001230084,0.0009762424,0.0006018883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004691669,"about_ca_system_score_gemma":0.0001726603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00269049,"about_ca_topic_score_gemma":0.001501579,"domain_scores_codex":[0.9895024,0.0005473067,0.00176333,0.002716141,0.002730723,0.002740103],"domain_scores_gemma":[0.9949741,0.0003853166,0.001366107,0.0007083805,0.001299159,0.001266928],"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":[0.00009150222,0.0006807912,0.001775661,0.0001438282,0.00006434228,0.000005379458,0.0008625906,0.0001241764,0.9238025,0.005355193,0.01027031,0.05682372],"study_design_scores_gemma":[0.001002458,0.003072262,0.8186154,0.0004573239,0.0001885226,0.0001246726,0.004027559,0.0001071561,0.1209794,0.001406123,0.04759853,0.002420623],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9639429,0.001230561,0.00001362434,0.0204105,0.002792674,0.001471754,0.0001434533,0.0002589645,0.009735528],"genre_scores_gemma":[0.9860913,0.0005051742,0.0004831676,0.001004378,0.003219235,0.00005191399,0.0001147476,0.0000114026,0.008518674],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8168398,"threshold_uncertainty_score":0.9999925,"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."}}