{"id":"W4406021548","doi":"10.25201/hsz.23.4.154","title":"Monetáris politika Magyarországon rugalmas inflációs célkövetés mellet","year":2024,"lang":"hu","type":"article","venue":"Hitelintézeti szemle","topic":"Global Financial Crisis and Policies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Balsillie School of International Affairs","funders":"","keywords":"Humanities; Medicine; Political science; Demography; Philosophy; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007648086,0.000567267,0.0005942428,0.0007060969,0.0009274738,0.006045871,0.0006066395,0.001239245,0.02964893],"category_scores_gemma":[0.002506097,0.0002943694,0.0007374616,0.001042833,0.001698772,0.003173708,0.001706077,0.002027318,0.002955534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003279566,"about_ca_system_score_gemma":0.002287266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01103472,"about_ca_topic_score_gemma":0.009523938,"domain_scores_codex":[0.9994752,0.0001363837,0.00002768011,0.0001369253,0.00009188498,0.000131971],"domain_scores_gemma":[0.9992766,0.0002474674,0.0002002453,0.00007678109,0.0001117413,0.00008719069],"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":[0.0003263102,0.0001607987,0.01955669,0.0004198484,0.0001651893,0.0008122314,0.001907829,0.03274306,0.00298395,0.8786669,0.01556245,0.04669491],"study_design_scores_gemma":[0.000113428,0.0001448092,0.05029637,0.0005349589,0.0002101798,0.0006257701,0.005736112,0.04437071,0.003441473,0.6850424,0.2093523,0.0001315411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3639531,0.01017493,0.08924784,0.03380261,0.0005462691,0.0001773346,0.003168901,0.0006149329,0.4983141],"genre_scores_gemma":[0.9132902,0.004440682,0.004728176,0.0006396795,0.0001655351,0.0001040518,0.0007033378,0.0001151011,0.07581329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02964893,"threshold_uncertainty_score":0.09918553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523520211405044,"score_gpt":0.2441050706892567,"score_spread":0.2188698685752063,"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."}}