{"id":"W6907777619","doi":"10.24412/2309-348x-2022-4-49-57","title":"КОНКУРЕНТОСПОСОБНОСТЬ ОТЕЧЕСТВЕННОГО СОРТА СОИ ЭН АРГЕНТА ПО СРАВНЕНИЮ С СОРТОМ КАНАДСКОЙ СЕЛЕКЦИИ ОАК ПРУДЕНС В УСЛОВИЯХ ЦЕНТРАЛЬНОГО ЧЕРНОЗЕМЬЯ","year":2022,"lang":"ru","type":"article","venue":"CyberLeninK (CyberLeninka)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.00302727,0.004227359,0.004102224,0.002487387,0.004378645,0.0006684586,0.006134544,0.002951818,0.02117063],"category_scores_gemma":[0.0005787264,0.00510003,0.002293226,0.004547197,0.002051512,0.002040884,0.003323949,0.009796746,0.00421425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330865,"about_ca_system_score_gemma":0.001294448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001366277,"about_ca_topic_score_gemma":0.000742919,"domain_scores_codex":[0.9797648,0.00148607,0.004406427,0.004714481,0.003409114,0.006219095],"domain_scores_gemma":[0.9893371,0.00125302,0.001202765,0.006025349,0.0005685013,0.001613281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00240042,0.004500638,0.01163593,0.003014262,0.008042959,0.008693391,0.0267342,0.0582746,0.01237729,0.2908944,0.4532903,0.1201416],"study_design_scores_gemma":[0.01122475,0.003677417,0.009348256,0.0009322875,0.002365152,0.00294866,0.01827987,0.01128378,0.005072862,0.04610383,0.8766181,0.01214507],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5190889,0.09990039,0.002211942,0.006754853,0.02129281,0.0058675,0.00438996,0.01140826,0.3290854],"genre_scores_gemma":[0.9447181,0.004405427,0.004712755,0.001166266,0.002334797,0.001856962,0.001313605,0.001273689,0.03821842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4256292,"threshold_uncertainty_score":0.9992427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009578853007724824,"score_gpt":0.2025372887995132,"score_spread":0.1929584357917884,"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."}}