{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01638171,0.0002683517,0.001140377,0.001277914,0.0001060889,0.00009326382,0.0005246716,0.0006318474,0.001515573],"category_scores_gemma":[0.002897927,0.0003572136,0.0002735598,0.000351235,0.0002414592,0.0003082736,0.000298673,0.001295455,0.0002486549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003463315,"about_ca_system_score_gemma":0.001744356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005419561,"about_ca_topic_score_gemma":0.0008041019,"domain_scores_codex":[0.9957946,0.000139592,0.002077877,0.001140425,0.0002566873,0.0005907969],"domain_scores_gemma":[0.996936,0.0004584704,0.001048017,0.0005890671,0.0008642997,0.0001041894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004420217,0.0001326332,0.0205496,0.0002062735,0.0001513129,0.000004053559,0.000155907,0.01853312,0.00000394377,0.9323311,0.02732766,0.0005602197],"study_design_scores_gemma":[0.0005802303,0.0000750765,0.008874009,0.0002233281,0.000005120352,0.00001903499,0.0001283251,0.004401064,0.00004434053,0.8759965,0.1090918,0.0005611371],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04368683,0.006104645,0.0001235763,0.001405824,0.003278984,0.0007877004,0.0003011055,0.00002510749,0.9442862],"genre_scores_gemma":[0.9681565,0.006100801,0.000166367,0.00002337553,0.001798006,0.0001442541,0.0007462036,0.00007204743,0.02279245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9244696,"threshold_uncertainty_score":0.999888,"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."}}