{"id":"W2973333276","doi":"","title":"Анализ финансовой стратегии Банка России в части воздействия ставки рефинансирования (ключевой ставки) на российскую экономику","year":2016,"lang":"ru","type":"article","venue":"Экономика и управление","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interest rate; Economics; Quarter (Canadian coin); Econometric model; Population; Econometrics; Macroeconomics; Geography","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","sts","insufficient_payload"],"category_scores_codex":[0.004051356,0.002372493,0.002727043,0.001020588,0.003008933,0.0009089098,0.005660982,0.003241049,0.03094752],"category_scores_gemma":[0.002671251,0.001874307,0.001337335,0.002578344,0.004649405,0.002013755,0.002277416,0.002039933,0.03068634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002323929,"about_ca_system_score_gemma":0.001811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642408,"about_ca_topic_score_gemma":0.001500575,"domain_scores_codex":[0.9839127,0.001178339,0.003506755,0.003943441,0.002265361,0.00519337],"domain_scores_gemma":[0.9902864,0.002128112,0.00184102,0.003203292,0.0006066643,0.001934579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004209988,0.002063077,0.05600257,0.0002974857,0.001479383,0.0005685689,0.008895703,0.000009790314,0.002502779,0.2938983,0.1822293,0.451632],"study_design_scores_gemma":[0.004354302,0.000710903,0.02969755,0.001235562,0.0003691952,0.00005677673,0.006346778,0.00006962912,0.003128738,0.05871157,0.8909658,0.004353253],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3964121,0.005522404,0.004131325,0.0543878,0.01859415,0.004467725,0.0009265503,0.004700708,0.5108572],"genre_scores_gemma":[0.86224,0.007375293,0.003141041,0.002775665,0.002845598,0.0003638383,0.00005912396,0.0003281232,0.1208714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7087365,"threshold_uncertainty_score":0.9997188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02920589359713473,"score_gpt":0.2770341332400115,"score_spread":0.2478282396428768,"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."}}