{"id":"W3125469774","doi":"10.2139/ssrn.3339572","title":"Informational Inequity Aversion and Performance","year":2019,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Quest University Canada","funders":"","keywords":"Inequity aversion; Tournament; Inequality; Economics; Microeconomics; Differential (mechanical device); Loss aversion; Econometrics; Psychology; Mathematics","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":[0.002725335,0.0002633804,0.0003279396,0.0004659022,0.0002572261,0.002213142,0.0001852026,0.0008424886,0.01171559],"category_scores_gemma":[0.01601821,0.000149867,0.000209018,0.0004765361,0.0006604733,0.0008702733,0.0009363841,0.0007305465,0.0007791975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003623693,"about_ca_system_score_gemma":0.0003251164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003601568,"about_ca_topic_score_gemma":0.0003007098,"domain_scores_codex":[0.9994032,0.0002478805,0.00003785623,0.00008631437,0.0001148137,0.0001098333],"domain_scores_gemma":[0.9854901,0.009192857,0.002668362,0.001165745,0.000412757,0.001070271],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008441321,0.007258268,0.5201756,0.000595399,0.0008989597,0.0007170673,0.002461901,0.02174799,0.01467399,0.2855797,0.006030977,0.1314189],"study_design_scores_gemma":[0.0002285005,0.001610663,0.67202,0.00007569916,0.0003260853,0.0003643998,0.001474835,0.02231161,0.00349862,0.2951846,0.002817192,0.00008784758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9757822,0.0002341172,0.00134713,0.0006045582,0.00002435505,0.00000773919,0.00009142343,0.00001315377,0.02189531],"genre_scores_gemma":[0.9979709,0.00006736618,0.0001439022,0.00003991888,0.00001432201,0.000003402797,0.00002759368,0.000003579594,0.001729102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171559,"threshold_uncertainty_score":0.03919256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02000298112597159,"score_gpt":0.3012990014244595,"score_spread":0.2812960202984879,"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."}}