{"id":"W2892242185","doi":"10.3386/w13523","title":"The Changing Nature of Wage Inequality","year":2007,"lang":"en","type":"preprint","venue":"National Bureau of Economic Research","topic":"Political Economy and Marxism","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Wage inequality; Inequality; Economics; Wage; Labour economics; Distribution (mathematics); Wage growth; Income distribution; Demographic economics","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":[0.001651471,0.0001712448,0.0003887122,0.00194302,0.001448671,0.004347407,0.0005259818,0.001092497,0.003737769],"category_scores_gemma":[0.00539283,0.0001349956,0.0002024631,0.00315754,0.004962723,0.005505017,0.002332042,0.002406391,0.0004493731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831798,"about_ca_system_score_gemma":0.0006276775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002053871,"about_ca_topic_score_gemma":0.002020508,"domain_scores_codex":[0.9983732,0.0004500957,0.00006273618,0.0002854278,0.0004765822,0.0003519928],"domain_scores_gemma":[0.9976041,0.001528466,0.0003075343,0.0001295393,0.0002677689,0.0001626142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0000453005,0.00002912059,0.01167053,0.0002712587,0.00002759597,0.0003395842,0.005805226,0.0008477065,0.0004434455,0.8005763,0.009519611,0.1704244],"study_design_scores_gemma":[0.000007483895,0.00003890898,0.05729961,0.0005072751,0.0000106995,0.0005278459,0.005582089,0.0009154528,0.0002705501,0.8119639,0.1228425,0.00003370283],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2571011,0.2059229,0.02120843,0.252052,0.002533282,0.00003828583,0.0008695764,0.00009305832,0.2601812],"genre_scores_gemma":[0.9086192,0.07270405,0.002012789,0.005622574,0.004800547,0.0000284129,0.0001975978,0.00004443658,0.005970408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004347407,"threshold_uncertainty_score":0.0132907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3372833686830323,"score_gpt":0.5724884907628515,"score_spread":0.2352051220798191,"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."}}