{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003134837,0.0007974067,0.0006743498,0.002511375,0.003634724,0.01392519,0.00136509,0.002770689,0.03272709],"category_scores_gemma":[0.009756409,0.0008175381,0.0008777974,0.002617023,0.008016509,0.007918035,0.00398952,0.003392445,0.01035882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004966046,"about_ca_system_score_gemma":0.009118564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00864529,"about_ca_topic_score_gemma":0.00639986,"domain_scores_codex":[0.9942492,0.001501893,0.0003073741,0.00103621,0.002401986,0.0005033731],"domain_scores_gemma":[0.9949192,0.00143587,0.000540133,0.0008597445,0.001752802,0.0004921329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005096199,0.00004043986,0.001531322,0.0002616659,0.00003421514,0.0002452941,0.002750603,0.001055578,0.00221064,0.9409953,0.007166251,0.04365771],"study_design_scores_gemma":[0.00004352963,0.00006279664,0.004164935,0.00046182,0.00006330523,0.0005897869,0.004947976,0.002168927,0.003746203,0.5405816,0.4430572,0.0001119074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03250458,0.009079681,0.1120093,0.01551484,0.001044591,0.0002124642,0.0007753349,0.0004568155,0.8284022],"genre_scores_gemma":[0.6962941,0.01227141,0.09965126,0.002281257,0.0007302458,0.000728474,0.0009082031,0.0006086599,0.1865263],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03272709,"threshold_uncertainty_score":0.109483,"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."}}