{"id":"W2261324480","doi":"","title":"Исследование Возможностей И Диапазонов Применения Методологии Экономико-Математического Моделирования На Основе Тензорного Анализа Денежного Поля: Теоретические И Методологические Вопросы Взаимодействия Финансового И Реального Сектора Экономики [The research of possibilities and scope for application of economically-mathematical modeling methodology in terms of money field tensor analysis: theoretical and methodological questions of interaction between financial and real sectors of an economy]","year":2012,"lang":"ru","type":"article","venue":"MPRA Paper","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scope (computer science); Order (exchange); Field (mathematics); Economics; Macroeconomics; Econometric model; Stability (learning theory); Financial stability; Finance; Econometrics; Computer science; Financial system; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011548,0.0003823515,0.0005072781,0.002059301,0.0014053,0.0042662,0.0005437715,0.0009127407,0.02190835],"category_scores_gemma":[0.00405005,0.000587992,0.0004912597,0.002864728,0.002410828,0.00202101,0.001239313,0.001360153,0.005457786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001637185,"about_ca_system_score_gemma":0.003811458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005415551,"about_ca_topic_score_gemma":0.006857468,"domain_scores_codex":[0.9984238,0.0003280227,0.00007866744,0.0003017627,0.000733757,0.0001340289],"domain_scores_gemma":[0.9981387,0.0006331163,0.0002632033,0.0003708173,0.0004802277,0.000113898],"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":[0.0001318851,0.00008572266,0.004433414,0.0005265806,0.00005108922,0.0007873878,0.003088987,0.003721058,0.01886483,0.7396498,0.01158405,0.2170752],"study_design_scores_gemma":[0.00004793343,0.00008536358,0.01024447,0.0002867685,0.00007973822,0.002215304,0.002109858,0.003827389,0.01931931,0.2966646,0.6649557,0.0001636696],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.1354505,0.02828714,0.2876138,0.007906219,0.001386927,0.0003043481,0.002541853,0.0007624382,0.5357468],"genre_scores_gemma":[0.7104841,0.02272137,0.175068,0.0004253406,0.000426251,0.0005449567,0.001193218,0.0003845872,0.08875211],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02190835,"threshold_uncertainty_score":0.07329071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2278678105060801,"score_gpt":0.4257305794566109,"score_spread":0.1978627689505307,"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."}}