{"id":"W4376613158","doi":"10.32782/infrastruct68-42","title":"ANALYSIS OF THE APPLICATION BY THE NATIONAL BANK OF UKRAINE OF THE MAIN TOOLS AND LEVERS OF MONETARY AND CREDIT POLICY","year":2022,"lang":"en","type":"article","venue":"Market Infrastructure","topic":"Economic Issues in Ukraine","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"National bank; Legislation; Monetary policy; Interest rate; Economics; Loan; Bond; Business; Open market operation; Monetary economics; Exchange rate; Financial system; Macroeconomics; Finance","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":[0.002412895,0.0003388796,0.0003974817,0.0022941,0.001124786,0.005175231,0.0004972021,0.0007325955,0.004851295],"category_scores_gemma":[0.005945455,0.0002562756,0.0004238494,0.002672814,0.0009026436,0.001786122,0.0016657,0.0009780751,0.001360491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005419719,"about_ca_system_score_gemma":0.01123315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01591186,"about_ca_topic_score_gemma":0.00643817,"domain_scores_codex":[0.9977165,0.0003997135,0.0003180575,0.0003802634,0.0008964671,0.0002890007],"domain_scores_gemma":[0.9960753,0.0006407114,0.0008903536,0.0002856315,0.001903184,0.0002047516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0004507815,0.00009194342,0.09999792,0.002483236,0.0002957614,0.00148837,0.004953084,0.01188365,0.004661957,0.5278644,0.053442,0.2923869],"study_design_scores_gemma":[0.00002265637,0.0001274411,0.2318504,0.001165577,0.0001519523,0.0008403269,0.003401358,0.006187647,0.004893527,0.02268017,0.7285959,0.00008316842],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4802359,0.07165495,0.01988173,0.01685006,0.002137643,0.0004025888,0.01301118,0.0009092531,0.3949166],"genre_scores_gemma":[0.9150633,0.02302163,0.008137278,0.0009831676,0.0002614276,0.0001950748,0.004009545,0.00015729,0.04817123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01591186,"threshold_uncertainty_score":0.03932297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009489467167165002,"score_gpt":0.2064469696966011,"score_spread":0.1969575025294361,"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."}}