{"id":"W1935254191","doi":"10.2139/ssrn.1145962","title":"Inequality: An Explanation Using State-Utility and Information Asymmetry","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Inequality; Information asymmetry; State (computer science); Asymmetry; Economics; Econometrics; Mathematical economics; Positive economics; Computer science; Mathematics; Microeconomics; Physics; Algorithm","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":[0.005454811,0.00009767707,0.0001406076,0.0001277419,0.001229538,0.0001009458,0.0001466768,0.00008857116,0.00002560675],"category_scores_gemma":[0.0002996757,0.00009247161,0.00004192188,0.000232833,0.0001370071,0.003641259,0.00002057979,0.0007190027,0.000006593199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008745131,"about_ca_system_score_gemma":0.002247294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004813773,"about_ca_topic_score_gemma":0.005709974,"domain_scores_codex":[0.997433,0.000492674,0.0003673002,0.0001072745,0.0004909593,0.001108804],"domain_scores_gemma":[0.9992902,0.0000495664,0.0002263121,0.0001039509,0.0001985701,0.0001314101],"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":[0.0002156751,0.0002132437,0.2422486,0.00002749993,0.0001086825,0.000004272038,0.05244061,0.00004452707,0.00009805984,0.576933,0.0001378237,0.1275281],"study_design_scores_gemma":[0.002664934,0.0008434879,0.1982215,0.00003674751,0.00006831191,0.0004369408,0.09248878,0.004814829,0.0002051119,0.6661624,0.03300821,0.001048705],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801613,0.0002295675,0.01590035,0.0002883257,0.0002043731,0.00009975266,0.000005814493,0.00003607758,0.003074455],"genre_scores_gemma":[0.9966739,0.002623303,0.0001203941,0.0002436117,0.0002423063,8.642563e-7,0.000009606463,0.000005108742,0.00008090576],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1264793,"threshold_uncertainty_score":0.9456736,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780804932321105,"score_gpt":0.3170862959269569,"score_spread":0.2792782466037459,"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."}}