{"id":"W7097149574","doi":"","title":"\\t The Reliability of Output Gap Estimates in Canada","year":2002,"lang":"en","type":"article","venue":"","topic":"Monetary Policy and Economic Impact","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Output gap; Univariate; Reliability (semiconductor); Potential output; Inflation (cosmology); Scope (computer science); Lag","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":[0.004113952,0.0002811337,0.0003669859,0.002315252,0.0009382063,0.001989232,0.0009173379,0.0003678321,0.001356987],"category_scores_gemma":[0.03854586,0.0001825472,0.0002855558,0.004244424,0.0005720012,0.0006145636,0.0009337692,0.0005202274,0.0002500544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102579,"about_ca_system_score_gemma":0.01245691,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9612985,"about_ca_topic_score_gemma":0.9463285,"domain_scores_codex":[0.9967618,0.0004401917,0.000258455,0.0004841237,0.00169409,0.000361354],"domain_scores_gemma":[0.9721457,0.006813615,0.004135959,0.001326923,0.0150143,0.0005634822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005626738,0.00002385897,0.8698468,0.0001959342,0.0002860654,0.0002655314,0.001916074,0.0163391,0.001502733,0.003275142,0.006518492,0.09926756],"study_design_scores_gemma":[0.0000158007,0.00002575972,0.9658521,0.00008284154,0.00005456537,0.00006699838,0.0009116533,0.0227496,0.002057816,0.0006605431,0.00745387,0.00006840116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788215,0.001478052,0.003392673,0.001082748,0.00005575305,0.00001761284,0.006357581,0.000230193,0.008563807],"genre_scores_gemma":[0.9969882,0.00022105,0.0006733396,0.00002905089,0.000007785487,0.000003285769,0.001350447,0.000018333,0.0007084478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03870147,"threshold_uncertainty_score":0.07785875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08609037877378743,"score_gpt":0.2008677298893311,"score_spread":0.1147773511155437,"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."}}