{"id":"W7106008442","doi":"10.52260/2304-7216.2025.3(60).33","title":"УПРАВЛЕНИЕ ГОСУДАРСТВЕННЫМ СТИМУЛИРОВАНИЕМ ИННОВАЦИЙ В НЕФТЕПЕРЕРАБОТКЕ В УСЛОВИЯХ ЭНЕРГЕТИЧЕСКОГО ПЕРЕХОДА","year":2025,"lang":"ru","type":"article","venue":"Вестник Казахского университета экономики финансов и международной торговли","topic":"Economic Growth and Development","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); State (computer science); Field (mathematics); Refining (metallurgy); Production (economics); Work (physics); Oil refinery; Oil production","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.005477563,0.00504615,0.005189322,0.004105933,0.003658704,0.004443468,0.01249965,0.003083731,0.004038243],"category_scores_gemma":[0.001215706,0.005599003,0.002565879,0.007711793,0.002373736,0.004260163,0.007681844,0.004801524,0.01667408],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003227622,"about_ca_system_score_gemma":0.00766287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261578,"about_ca_topic_score_gemma":0.001005064,"domain_scores_codex":[0.9718046,0.001813723,0.007051739,0.008039784,0.003207966,0.008082172],"domain_scores_gemma":[0.9809698,0.002123869,0.00259908,0.009234526,0.001794463,0.003278252],"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":[0.001015886,0.003897135,0.02783512,0.00244858,0.003580634,0.001439726,0.007880629,0.0006306536,0.002636367,0.2633268,0.4520293,0.2332792],"study_design_scores_gemma":[0.01253943,0.001404134,0.03482455,0.003490719,0.001163921,0.0004947669,0.001614349,0.02245309,0.01545022,0.05050119,0.8464193,0.009644367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1352239,0.03212567,0.1742,0.0603174,0.05906316,0.01051446,0.0009719477,0.006570355,0.5210131],"genre_scores_gemma":[0.8242915,0.002764035,0.01887823,0.01811013,0.002847665,0.0009774992,0.0004472683,0.0006582488,0.1310255],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6890675,"threshold_uncertainty_score":0.9982105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007698702396897914,"score_gpt":0.2175738752960538,"score_spread":0.2098751728991559,"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."}}