{"id":"W4406365817","doi":"10.26509/frbc-ec-202501","title":"Is High-Productivity Growth Returning?","year":2025,"lang":"en","type":"article","venue":"Economic Commentary (Federal Reserve Bank of Cleveland)","topic":"Economic and Technological Innovation","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Productivity; Pace; Quarter (Canadian coin); Economics; Growth rate; Econometrics; Macroeconomics; Mathematics; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000771625,0.0002524506,0.0007288512,0.0003865942,0.000188289,0.00007502441,0.0005799332,0.0002008649,0.001883433],"category_scores_gemma":[0.0001300324,0.0002932592,0.0001859454,0.0002093104,0.0001529275,0.0004505658,0.0003338027,0.0003278098,0.0002302809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003712643,"about_ca_system_score_gemma":0.00003388807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003667578,"about_ca_topic_score_gemma":0.0002309213,"domain_scores_codex":[0.9976835,0.00002739775,0.001214923,0.0006801024,0.00002867252,0.0003653523],"domain_scores_gemma":[0.998542,0.000141603,0.0005883778,0.0006287877,0.00004252543,0.00005675314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007188735,0.00009583531,0.4038109,0.00004465064,0.0001707567,0.000001091609,0.00004034695,0.0000105058,0.00002593301,0.5093229,0.08546664,0.0009385059],"study_design_scores_gemma":[0.001664882,0.0001489946,0.2456273,0.0000472363,0.00001004739,0.000001648442,0.00005777744,0.0007563106,0.006470061,0.7010971,0.04372314,0.0003954922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9240001,0.0004257848,0.0008038864,0.0433078,0.0007397953,0.0002892922,0.000364877,0.00007272036,0.02999569],"genre_scores_gemma":[0.9927822,0.00009443672,0.00090077,0.004042828,0.0001345613,0.00003116022,0.00009455758,0.00002019102,0.001899251],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1917741,"threshold_uncertainty_score":0.999952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03516081494031931,"score_gpt":0.2512926227802467,"score_spread":0.2161318078399274,"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."}}