{"id":"W4389319246","doi":"10.2139/ssrn.4645459","title":"Modeling Daily Variations of the Growth and Inflation Joint Distribution","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Government of Canada; Bank of Canada; University of Toronto","funders":"","keywords":"Econometrics; Inflation (cosmology); Joint (building); Economics; Distribution (mathematics); Mathematics; Environmental science; Physics; Engineering; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001255041,0.0004444799,0.00069553,0.0005016063,0.0002659728,0.001283755,0.0008243168,0.001478496,0.00153629],"category_scores_gemma":[0.007839842,0.0006603546,0.000677416,0.0007259612,0.0007110152,0.001378762,0.0006332012,0.001381814,0.0002256834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007695118,"about_ca_system_score_gemma":0.0004776808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01910048,"about_ca_topic_score_gemma":0.01145067,"domain_scores_codex":[0.9997171,0.0001032219,0.00001130127,0.0000842548,0.00002974775,0.00005434252],"domain_scores_gemma":[0.9966893,0.0025187,0.0003601184,0.0001366179,0.0001399869,0.0001553284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008003638,0.00005955364,0.01026678,0.00001449513,0.00005588388,0.00009817818,0.00005277026,0.9786429,0.0005639523,0.006718981,0.0005126658,0.00293379],"study_design_scores_gemma":[0.000003882805,0.000004203264,0.001161928,7.819681e-7,0.000003018894,0.000007794854,0.000007577899,0.997713,0.00004242649,0.001008748,0.00004346663,0.000003306163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9281095,0.0002353186,0.06762926,0.0007814037,0.00007460128,0.00001588683,0.000385815,0.0002432139,0.002525075],"genre_scores_gemma":[0.9969221,0.00008287164,0.001656325,0.00002521318,0.00003584503,0.000007723997,0.0001813731,0.00004063959,0.001047947],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01910048,"threshold_uncertainty_score":0.03797865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02048073434362689,"score_gpt":0.1966767003959934,"score_spread":0.1761959660523665,"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."}}