{"id":"W4415671196","doi":"10.1038/s41598-025-22673-0","title":"Inequity aversion toward AI counterparts","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; University of Toronto","funders":"University of Toronto","keywords":"Ultimatum game; Affect (linguistics); Inequity aversion; Association (psychology); Social preferences","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001542188,0.0001790782,0.0001828805,0.000230863,0.0003357759,0.0007872472,0.0001474672,0.0003346615,0.003152176],"category_scores_gemma":[0.008156171,0.00005964866,0.0001135863,0.00008637246,0.0005606964,0.0003034515,0.0008090005,0.000922348,0.0001492449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002053557,"about_ca_system_score_gemma":0.0001542692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005842316,"about_ca_topic_score_gemma":0.0007324629,"domain_scores_codex":[0.9992734,0.0003084475,0.00003663682,0.00009482299,0.0002042405,0.00008240801],"domain_scores_gemma":[0.9965271,0.001141381,0.001397748,0.0002952823,0.0002488732,0.0003895838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003785158,0.001634628,0.6310457,0.0004167845,0.0003533725,0.001679333,0.01729197,0.003493883,0.1669505,0.03215548,0.002263171,0.13893],"study_design_scores_gemma":[0.0001109542,0.002157093,0.9180531,0.0001164156,0.0001691983,0.002831918,0.01141359,0.01109093,0.01334842,0.02794695,0.01265622,0.0001051728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930248,0.00004521272,0.0007556078,0.0001464412,0.00001103597,0.000006058396,0.000005422188,0.000005148132,0.006000227],"genre_scores_gemma":[0.9991364,0.00002149959,0.0002829332,0.00005902256,0.000005033177,0.000003850828,0.000005463514,0.000001524924,0.0004843479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003152176,"threshold_uncertainty_score":0.01054502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07611755606675014,"score_gpt":0.3149822952144249,"score_spread":0.2388647391476748,"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."}}