{"id":"W2279588514","doi":"","title":"Inflation Targeting and Economic Reforms in New Zealand","year":2018,"lang":"en","type":"article","venue":"International journal of central banking","topic":"New Zealand Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Economics; Inflation targeting; Unemployment; Monetary policy; Inflation (cosmology); Monetary economics; Macroeconomics","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":[0.0007488075,0.000287685,0.0005465752,0.0004430512,0.0007309466,0.002148455,0.0004338333,0.000912665,0.003569072],"category_scores_gemma":[0.004888086,0.0002255083,0.0005313253,0.0007429378,0.001370812,0.001555475,0.001149878,0.001417448,0.0001951943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005922642,"about_ca_system_score_gemma":0.003040353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3695571,"about_ca_topic_score_gemma":0.2586499,"domain_scores_codex":[0.9996212,0.00006100376,0.0000198677,0.00005150154,0.00008009233,0.0001663691],"domain_scores_gemma":[0.9986157,0.0001574931,0.0008895955,0.00004817356,0.0001298236,0.0001590881],"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":[0.001474064,0.0007560587,0.1904808,0.0006315514,0.0003279758,0.005539244,0.01008543,0.2065011,0.01141965,0.4823386,0.01148747,0.07895812],"study_design_scores_gemma":[0.0007734286,0.0009195621,0.4651909,0.0002679208,0.000387853,0.0008721593,0.006225788,0.3204767,0.002469574,0.147183,0.05498044,0.0002526329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9522435,0.001908339,0.004777728,0.006697096,0.00007848733,0.00005383722,0.0003257851,0.00005108339,0.03386434],"genre_scores_gemma":[0.9960164,0.0009884482,0.0002721183,0.00008711518,0.00002788551,0.000009136973,0.00005320462,0.000006536593,0.002539029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3695571,"threshold_uncertainty_score":0.734812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01674921297248077,"score_gpt":0.2375812148159537,"score_spread":0.2208320018434729,"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."}}