{"id":"W1570721346","doi":"","title":"The Inflation-Capacity Utilization Conundrum: Evidence from the Canadian Economy","year":2006,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Theory and Policy","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economics; Measure (data warehouse); Inflation (cosmology); Econometrics; Vector autoregression; Macroeconomics; Econometric model; Autoregressive model; Estimation; Capacity utilization; Inflation rate; Acceleration; Economy; Monetary policy; Computer science","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":[0.001792109,0.0002725862,0.0004510743,0.00243595,0.002180318,0.002157104,0.0009994031,0.00053693,0.003164539],"category_scores_gemma":[0.01447365,0.0002156883,0.0003472511,0.008196507,0.001620592,0.0009654509,0.0008382557,0.0007499756,0.0002114232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02484133,"about_ca_system_score_gemma":0.02684843,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9930001,"about_ca_topic_score_gemma":0.9948674,"domain_scores_codex":[0.9984054,0.0001510333,0.00006973403,0.000147214,0.0008972011,0.0003294588],"domain_scores_gemma":[0.9885126,0.002398686,0.002480346,0.0005930413,0.005302077,0.0007133333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005494495,0.00009845619,0.8580848,0.0004858072,0.0003020311,0.0006017755,0.005144017,0.005854409,0.0005241398,0.03571019,0.01789298,0.07475189],"study_design_scores_gemma":[0.00002268703,0.00002305899,0.9725583,0.000125214,0.0001313385,0.00008978118,0.003439327,0.002609922,0.0004201513,0.001880714,0.01864283,0.00005681192],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326412,0.00829685,0.001228121,0.007323742,0.00003865997,0.00004674067,0.005653985,0.00004146593,0.04472922],"genre_scores_gemma":[0.9935352,0.003096579,0.0002789903,0.0002381599,0.00001958462,0.000004669245,0.0009274096,0.00001027708,0.001889193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02484133,"threshold_uncertainty_score":0.1802374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03745396895042274,"score_gpt":0.2233161958642656,"score_spread":0.1858622269138429,"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."}}