{"id":"W2017739554","doi":"10.1080/09603100600598064","title":"Monetary aggregation, inflation, and welfare","year":2006,"lang":"en","type":"article","venue":"Applied Financial Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Calgary","funders":"","keywords":"Economics; Divisia monetary aggregates index; Inflation (cosmology); Divisia index; Monetary policy; Welfare; Monetary economics; Currency; Inflation targeting; Macroeconomics; Credit channel; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002841674,0.0002445952,0.0004567605,0.0002063837,0.0002688989,0.0001015007,0.0001651772,0.000205483,0.0003292344],"category_scores_gemma":[0.00002720369,0.00033415,0.00008197886,0.00009158558,0.0001017583,0.0003545045,0.00006051785,0.000151222,0.000642591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001050502,"about_ca_system_score_gemma":0.00001804106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202222,"about_ca_topic_score_gemma":0.0001650203,"domain_scores_codex":[0.9981995,0.000004555777,0.0008624758,0.0005271466,0.00001275327,0.0003936085],"domain_scores_gemma":[0.9991299,0.0000320196,0.0004022069,0.0003307131,0.000007501788,0.00009766984],"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":[0.00002439245,0.0000289653,0.02872891,0.00001301244,0.00001313753,7.856433e-7,0.0001024975,0.007966355,0.000004613212,0.9580111,0.002019173,0.003087047],"study_design_scores_gemma":[0.00106622,0.00003321128,0.2446557,0.000004132766,0.000009276531,0.00000945754,0.00002453836,0.01002065,0.00009770021,0.4786635,0.264778,0.0006376845],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9252961,0.0006486513,0.00126029,0.001308854,0.0003156023,0.0002827554,0.0002200821,0.00006887859,0.07059879],"genre_scores_gemma":[0.9967348,0.0001936359,0.001216475,0.0006925584,0.0005360857,0.00003688187,0.0001364548,0.00003590165,0.0004172215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4793476,"threshold_uncertainty_score":0.9999111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159793350857547,"score_gpt":0.170902702070724,"score_spread":0.1549233669849693,"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."}}