{"id":"W4400722017","doi":"10.3390/jrfm17070306","title":"Productivity and Keynes’s 15-Hour Work Week Prediction for 2030: An Alternative, Macroeconomic Analysis for the United States","year":2024,"lang":"en","type":"article","venue":"Journal of risk and financial management","topic":"Economic Growth and Productivity","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi dell'Insubria; Universität Rostock; University of Macedonia; Universität Siegen; Harvard University","keywords":"Productivity; Microdata (statistics); Economics; Working time; Macroeconomics; Consumption (sociology); Work (physics); Econometrics; Sociology; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0009485622,0.0002964112,0.0002422465,0.001141278,0.0003364435,0.001411434,0.0003896631,0.0004143987,0.003191902],"category_scores_gemma":[0.00409315,0.0001194698,0.0006573992,0.001282033,0.0003441702,0.0012978,0.0006159205,0.0009751159,0.0005072975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009024841,"about_ca_system_score_gemma":0.0004933444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01561208,"about_ca_topic_score_gemma":0.008009125,"domain_scores_codex":[0.9998342,0.00002660345,0.00001437039,0.00005701029,0.00003390395,0.00003393831],"domain_scores_gemma":[0.9987115,0.0005419987,0.0002965847,0.00009979914,0.000217444,0.000132803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004138815,0.0001795573,0.5962157,0.0001956777,0.0002670341,0.000437063,0.001591948,0.2088125,0.001086236,0.110138,0.02055031,0.0601122],"study_design_scores_gemma":[0.00007497227,0.0003436739,0.5305098,0.0001996353,0.0001620626,0.000167905,0.002248102,0.317907,0.002045804,0.09639228,0.04983913,0.0001097054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9400836,0.002022096,0.03282185,0.003377998,0.0002604533,0.00003859813,0.007291742,0.0001043089,0.01399926],"genre_scores_gemma":[0.9928887,0.0005482292,0.001764955,0.0000931543,0.00008755127,0.00002654042,0.003117355,0.00001885943,0.001454664],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01561208,"threshold_uncertainty_score":0.03104246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02188057764888833,"score_gpt":0.2238750063512694,"score_spread":0.2019944287023811,"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."}}