{"id":"W2077651125","doi":"10.1111/j.1468-2354.2006.00383.x","title":"DO WEALTH DIFFERENCES AFFECT FAIRNESS CONSIDERATIONS?*","year":2006,"lang":"en","type":"article","venue":"International Economic Review","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Center for Interuniversity Research and Analysis on Organizations","funders":"","keywords":"Affect (linguistics); Odds; Ultimatum game; Reinforcement learning; Economics; Psychology; Microeconomics; Reinforcement; Social psychology; Estimation; Computer science; Logistic regression; Artificial intelligence","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":[0.002159196,0.0001902564,0.0002632235,0.0002133917,0.0002166888,0.0009555526,0.0001710978,0.0005808056,0.005832764],"category_scores_gemma":[0.01103477,0.0001279917,0.0001715171,0.0001781221,0.0007443904,0.0008547808,0.0003862895,0.0005524752,0.0003986326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003411184,"about_ca_system_score_gemma":0.0001930046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004619912,"about_ca_topic_score_gemma":0.0005286998,"domain_scores_codex":[0.9994788,0.0003113231,0.00001872221,0.00006809666,0.00005971256,0.00006339176],"domain_scores_gemma":[0.9912464,0.006183519,0.001569253,0.0004296835,0.0002215359,0.0003496518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01039104,0.002099102,0.4560728,0.0006335473,0.0008764216,0.001388257,0.002508337,0.01693931,0.07006502,0.1641258,0.003806309,0.2710941],"study_design_scores_gemma":[0.0003423954,0.002287808,0.7816237,0.00009791367,0.0002877476,0.0004968345,0.001096486,0.02084841,0.01109998,0.1744857,0.007253269,0.0000797134],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764403,0.0008301038,0.003364605,0.001512205,0.00004652898,0.00001811428,0.00008111379,0.00001168839,0.01769532],"genre_scores_gemma":[0.9988801,0.0001525591,0.0002850221,0.00009068455,0.00001541206,0.000004424754,0.00001205152,0.000003070514,0.0005566791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005832764,"threshold_uncertainty_score":0.01951253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06328826547707916,"score_gpt":0.3877096804470602,"score_spread":0.3244214149699811,"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."}}