{"id":"W7098279390","doi":"","title":"An Indicator of Monthly GDP and an Early Estimate of quarterly GDP","year":2005,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Real gross domestic product; Estimation; Monetary policy; Quarter (Canadian coin); Set (abstract data type); Range (aeronautics); Output gap; GDP deflator","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":[0.001405924,0.000536732,0.0004307613,0.004574607,0.0002754463,0.001200121,0.000409587,0.0007974686,0.01001436],"category_scores_gemma":[0.008558428,0.000145868,0.0002687735,0.007014937,0.000514336,0.001381752,0.0009173212,0.0008415157,0.004523832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009332809,"about_ca_system_score_gemma":0.0005145746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005215856,"about_ca_topic_score_gemma":0.005851106,"domain_scores_codex":[0.9984021,0.0004179377,0.0003042836,0.000241087,0.0005188386,0.0001157374],"domain_scores_gemma":[0.9960476,0.000827281,0.001339291,0.0003867651,0.00122957,0.0001695588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007838885,0.0001959474,0.2238202,0.001489248,0.0002021486,0.0005469053,0.001930893,0.005665687,0.007740451,0.1125196,0.1533594,0.4917457],"study_design_scores_gemma":[0.00003090896,0.000307614,0.5019366,0.0003919177,0.00006395312,0.0009396713,0.0008084205,0.005309941,0.004109434,0.01697064,0.4689977,0.0001332225],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.35924,0.01081023,0.2441304,0.009057546,0.004413843,0.0007773447,0.1773568,0.003386608,0.1908272],"genre_scores_gemma":[0.7797698,0.00603938,0.117283,0.0006441041,0.001246459,0.0007334716,0.06216361,0.0003378062,0.03178229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01001436,"threshold_uncertainty_score":0.03350133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02148765160235772,"score_gpt":0.2282843392686673,"score_spread":0.2067966876663096,"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."}}