{"id":"W3125177579","doi":"","title":"The Evolution of Inflation Expectations in Japan","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Toyota Motor Corporation; HSBC Bank USA","keywords":"Inflation (cosmology); Economics; Dispersion (optics); Econometrics; Horizon; Point (geometry); Survey of Professional Forecasters; Monetary policy; Keynesian economics; Mathematics; Physics","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":[0.001283241,0.0003025344,0.0005254974,0.0007119988,0.0005511947,0.001914137,0.0004360781,0.0008270245,0.001069825],"category_scores_gemma":[0.007286739,0.0003806202,0.0005016943,0.001107869,0.0006226363,0.001320271,0.000986347,0.0008762752,0.0002639709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002211253,"about_ca_system_score_gemma":0.0009568393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1363753,"about_ca_topic_score_gemma":0.06949651,"domain_scores_codex":[0.999644,0.00007464008,0.00003103162,0.00009878045,0.00006113568,0.00009040534],"domain_scores_gemma":[0.9979398,0.0005264154,0.0006765811,0.0001030124,0.0005208688,0.000233466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009157948,0.00009724095,0.7440041,0.0001730943,0.0003342618,0.001385461,0.00915158,0.1773893,0.002910881,0.01882684,0.004858393,0.0399531],"study_design_scores_gemma":[0.00007904246,0.0001670964,0.67439,0.00007990367,0.0003047095,0.0001964711,0.003787244,0.3058488,0.000732061,0.01067292,0.003532154,0.000209642],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927492,0.0004359178,0.002501138,0.0009357065,0.00001992531,0.000004652475,0.0002923676,0.00002807787,0.003033003],"genre_scores_gemma":[0.9984754,0.0001734993,0.0002851172,0.00003103461,0.00001077886,0.000003562096,0.000184682,0.000006432574,0.0008295403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1363753,"threshold_uncertainty_score":0.271163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07432795585483594,"score_gpt":0.3081250887852089,"score_spread":0.233797132930373,"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."}}