{"id":"W1484426219","doi":"","title":"Real Wage Chronology","year":2009,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Labor market dynamics and wage inequality","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wage; Wage growth; Economics; Efficiency wage; Chronology; Productivity; Real wages; Wage bargaining; Wage share; Labour economics; Geography; Macroeconomics","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":[0.002491189,0.0003360502,0.0003328495,0.008285014,0.001712469,0.002284106,0.00124583,0.0005797037,0.01096077],"category_scores_gemma":[0.01751866,0.0003110885,0.0004291181,0.01044021,0.0007808919,0.001164722,0.0007684391,0.0009369486,0.001541357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006391275,"about_ca_system_score_gemma":0.007278971,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5573879,"about_ca_topic_score_gemma":0.6436285,"domain_scores_codex":[0.9979712,0.0001554937,0.00008890252,0.0004038367,0.001151276,0.0002292783],"domain_scores_gemma":[0.9929481,0.001568062,0.001039058,0.001155812,0.002947137,0.0003418712],"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":[0.0003867508,0.0001819728,0.3157031,0.0005980486,0.0002384751,0.0005622424,0.006940467,0.04676053,0.003393627,0.1610349,0.06440417,0.3997957],"study_design_scores_gemma":[0.00006163149,0.0001111899,0.5819071,0.0003582397,0.00007872247,0.0005349107,0.002795024,0.06505594,0.002893142,0.04705262,0.2988374,0.000314152],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6408865,0.003741433,0.08575558,0.001904821,0.0004174121,0.00103652,0.1746055,0.001175944,0.09047634],"genre_scores_gemma":[0.8679261,0.001314208,0.04301606,0.0001688892,0.00008166856,0.0004728285,0.06489448,0.0002661972,0.02185959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5573879,"threshold_uncertainty_score":0.8904374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243932962306355,"score_gpt":0.3047281846214914,"score_spread":0.2622888549984279,"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."}}