{"id":"W2069557700","doi":"10.1016/j.csda.2004.05.022","title":"Exact tests of the stability of the Phillips curve: the Canadian case","year":2004,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bank of Canada; Université de Montréal; Université Laval","funders":"","keywords":"Mathematics; Nuisance parameter; Test statistic; Applied mathematics; Kalman filter; Inflation (cosmology); Stability (learning theory); Constant (computer programming); Monte Carlo method; Statistic; Lag; Econometrics; Statistics; Statistical hypothesis testing; Type I and type II errors; Computer science; Estimator","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01732495,0.0007372188,0.001497442,0.003363681,0.002843065,0.002573679,0.003231858,0.001678912,0.01306836],"category_scores_gemma":[0.1608286,0.000400325,0.00119537,0.005642184,0.005928981,0.003610484,0.002067522,0.002282206,0.0005064778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01036063,"about_ca_system_score_gemma":0.02046409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7887973,"about_ca_topic_score_gemma":0.7674314,"domain_scores_codex":[0.9906113,0.002960397,0.0004915387,0.001439859,0.002458238,0.002038696],"domain_scores_gemma":[0.8842227,0.08842272,0.005347942,0.008445506,0.01103821,0.002522987],"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":[0.00347842,0.0002825529,0.225158,0.0003489289,0.001121505,0.00190022,0.003284237,0.1392978,0.001377517,0.4584794,0.02166184,0.1436096],"study_design_scores_gemma":[0.0008176303,0.0004084288,0.3080908,0.0001321804,0.0004175692,0.0006228855,0.003536599,0.3608315,0.001881999,0.3103155,0.01266247,0.0002825388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8958604,0.002154985,0.05338142,0.00361465,0.000110797,0.0001265985,0.004088224,0.0003101198,0.04035289],"genre_scores_gemma":[0.9938741,0.0002968617,0.00305352,0.00009702676,0.00003676124,0.00002139285,0.0007201161,0.00003861425,0.001861591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2112027,"threshold_uncertainty_score":0.424893,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1205748850650094,"score_gpt":0.2773523248373279,"score_spread":0.1567774397723185,"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."}}