{"id":"W3123138969","doi":"10.17016/feds.2013.20","title":"Taxation of Human Capital and Wage Inequality: A Cross-Country Analysis","year":2013,"lang":"en","type":"article","venue":"Finance and Economics Discussion Series","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Economics; Wage; Labour economics; Human capital; Inequality; Economic inequality; Incentive; Efficiency wage; Demographic economics; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698638,0.0001861055,0.0006177099,0.0002526968,0.0001934567,0.0001780981,0.0001220694,0.0001362929,0.0001951476],"category_scores_gemma":[0.00003908509,0.0001598781,0.0001048462,0.0001602906,0.0002632922,0.001308606,0.0001202951,0.00009491727,0.00006462614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000342775,"about_ca_system_score_gemma":0.00000916123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008974049,"about_ca_topic_score_gemma":0.000211373,"domain_scores_codex":[0.9984725,0.000009290281,0.0008117534,0.0004395815,0.0000136562,0.0002532416],"domain_scores_gemma":[0.9988392,0.00002032166,0.0007597043,0.0002885705,0.0000191517,0.00007302539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001472066,0.00003390421,0.6111804,0.00004857107,0.00011101,2.400739e-7,0.001244628,0.00004820981,0.00004505838,0.3864974,0.0001031803,0.0006726963],"study_design_scores_gemma":[0.0003333684,0.00007146401,0.7675256,0.000009202548,0.00001857419,0.000001805209,0.0003263906,0.0007312823,0.0001692121,0.2292018,0.001365421,0.000245899],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934739,0.0003687039,0.00004533781,0.0006542847,0.00009227367,0.0001468576,0.0003139328,0.00001555893,0.004889126],"genre_scores_gemma":[0.998091,0.0004020578,0.0001475309,0.0001369796,0.00006749616,0.00003745586,0.00006808574,0.00001638259,0.001032974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1572957,"threshold_uncertainty_score":0.6519638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01985261621388894,"score_gpt":0.2359707916528963,"score_spread":0.2161181754390074,"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."}}