{"id":"W3127857469","doi":"10.3386/w28424","title":"Earnings Inequality in Production Networks","year":2021,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Inequality; Production (economics); Earnings; Economics; Mathematics; Econometrics; Microeconomics; Accounting; Mathematical analysis","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":[0.0006022626,0.0001422851,0.0002429834,0.0009825774,0.0003668376,0.001389296,0.0002649018,0.0002405419,0.005978759],"category_scores_gemma":[0.005095001,0.00009453668,0.0001471684,0.001418464,0.0007192369,0.001063209,0.0009983896,0.0003020424,0.0003033656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001209226,"about_ca_system_score_gemma":0.0002392095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01413176,"about_ca_topic_score_gemma":0.009115024,"domain_scores_codex":[0.9996375,0.00009244675,0.00001434474,0.00008960965,0.0000591903,0.0001069594],"domain_scores_gemma":[0.9972708,0.001243788,0.0009392326,0.0002056588,0.0001613765,0.0001792174],"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":[0.0004476439,0.0001673064,0.8569587,0.00007173204,0.0001281161,0.0005444114,0.001613208,0.03872602,0.00121838,0.05947958,0.002778882,0.03786597],"study_design_scores_gemma":[0.00005593325,0.00006019131,0.9053911,0.00005704279,0.00003593091,0.0001051486,0.001996847,0.03741586,0.0004485074,0.04992268,0.004488437,0.00002235267],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856771,0.0002563832,0.001301958,0.0005133994,0.000004655668,0.00001096321,0.0006130568,0.00001195911,0.01161043],"genre_scores_gemma":[0.9992235,0.00005667719,0.0000568752,0.000009910043,0.000004149378,0.000003057745,0.0001443078,9.732272e-7,0.0005005762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01413176,"threshold_uncertainty_score":0.028099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4730860874888534,"score_gpt":0.4842807083496982,"score_spread":0.01119462086084483,"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."}}