{"id":"W3121992013","doi":"10.2139/ssrn.1676024","title":"Politico Economic Consequences of Rising Wage Inequality","year":2010,"lang":"it","type":"article","venue":"SSRN Electronic Journal","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Economics; Economic inequality; Wage inequality; Wage; Labour economics; Mathematics","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":[0.0006620914,0.00006242166,0.0001611393,0.0008281625,0.001655063,0.002298538,0.0001729892,0.0009542629,0.01689629],"category_scores_gemma":[0.00241447,0.00008978741,0.0001318802,0.001023625,0.002038119,0.0007427739,0.001221642,0.001163065,0.0007237107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115057,"about_ca_system_score_gemma":0.0008906357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005713791,"about_ca_topic_score_gemma":0.01156945,"domain_scores_codex":[0.9992012,0.000261522,0.00001704203,0.0000463872,0.0001045128,0.0003693344],"domain_scores_gemma":[0.9990447,0.0003012492,0.0002036566,0.00004234002,0.00009365466,0.0003144087],"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":[0.0007568856,0.0004441389,0.1425584,0.00008289495,0.00005154865,0.002498277,0.008044867,0.001555002,0.00305257,0.7468196,0.02346386,0.07067191],"study_design_scores_gemma":[0.0001376408,0.0001627971,0.5333391,0.0001329173,0.00005291845,0.001081718,0.04847346,0.002242174,0.0007443006,0.3144666,0.0991281,0.00003820292],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7477582,0.001090468,0.0006644364,0.04692755,0.0002679682,0.000009948736,0.0003256208,0.00001629286,0.2029395],"genre_scores_gemma":[0.995205,0.0002871849,0.00004258296,0.0006967761,0.00009703189,0.00000358494,0.00002691833,0.000004983143,0.003635888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01689629,"threshold_uncertainty_score":0.05652368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01690234688227941,"score_gpt":0.2892194308536672,"score_spread":0.2723170839713878,"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."}}