{"id":"W1581775221","doi":"","title":"MONETARY CONDITIONS INDEX: THE MONETARY POLICY INDICATOR IN ROMANIA","year":2002,"lang":"en","type":"article","venue":"Romanian Journal of Economic Forecasting","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Monetary policy; Openness to experience; Index (typography); Accession; Inflation (cosmology); Estimation; Value (mathematics); Monetary economics; Monetary hegemony; Monetary base; International economics; Macroeconomics; European union; Mathematics; Statistics","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001105747,0.0002988783,0.0007609291,0.001067654,0.000229213,0.0001279261,0.000700573,0.0001521556,0.002341653],"category_scores_gemma":[0.0001536394,0.0002929125,0.0003281288,0.0002003143,0.0001497555,0.0009315898,0.00008284657,0.0005873084,0.001081606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004907956,"about_ca_system_score_gemma":0.00004529608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163019,"about_ca_topic_score_gemma":0.0001925967,"domain_scores_codex":[0.9968976,0.00005266727,0.002025302,0.0003385938,0.00004226755,0.0006435105],"domain_scores_gemma":[0.9974437,0.0001841796,0.001723113,0.0004023892,0.000009071916,0.0002374981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008835779,0.0002773796,0.8576583,0.00005684251,0.0006388056,0.0002140394,0.005523482,0.06274021,0.00001264023,0.0525999,0.01614646,0.004043563],"study_design_scores_gemma":[0.002802309,0.0004072939,0.4389592,0.0001176995,0.00003398184,0.001508305,0.0004374586,0.4889969,0.00001443175,0.05004487,0.01587879,0.000798787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9733709,0.002014651,0.00008803421,0.003078678,0.0005723592,0.0002019889,0.00015524,0.00001516545,0.020503],"genre_scores_gemma":[0.9973241,0.0002428087,0.0003024953,0.0006703279,0.001088449,0.000007159476,0.000007936414,0.00004724239,0.0003094851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4262567,"threshold_uncertainty_score":0.9999523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07321021407460089,"score_gpt":0.2293842621571963,"score_spread":0.1561740480825954,"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."}}