{"id":"W2144757184","doi":"10.1257/aer.20151743","title":"Discriminatory Information Disclosure","year":2017,"lang":"en","type":"article","venue":"American Economic Review","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":131,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University of British Columbia","funders":"","keywords":"Valuation (finance); Private information retrieval; Mechanism design; Microeconomics; Economics; Complete information; Revenue; Information asymmetry; Object (grammar); Information design; Business; Actuarial science; Computer science; Finance; Artificial intelligence; Computer security","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":[0.01372202,0.0008932107,0.001596066,0.001190881,0.0009070755,0.005061518,0.002652123,0.003631731,0.009988313],"category_scores_gemma":[0.05582078,0.0007341096,0.001209494,0.002489617,0.004448587,0.007166157,0.003120158,0.003413358,0.001140311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002669933,"about_ca_system_score_gemma":0.002066163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005841673,"about_ca_topic_score_gemma":0.0003666918,"domain_scores_codex":[0.9845319,0.006705685,0.001339574,0.002229249,0.003911617,0.001281867],"domain_scores_gemma":[0.95131,0.02471256,0.009879829,0.01104325,0.002338355,0.0007159106],"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":[0.0001881313,0.00008647502,0.002392109,0.0003362267,0.00009488931,0.0001953672,0.0001994456,0.01279887,0.0009905149,0.9308436,0.003357024,0.04851739],"study_design_scores_gemma":[0.0001424622,0.0001855265,0.001253002,0.0002166837,0.0001227646,0.0007544527,0.000140609,0.0383855,0.002041607,0.9412003,0.01550502,0.000052041],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1080403,0.003962029,0.7588304,0.008773378,0.0005529815,0.0004605108,0.0009246817,0.0003311133,0.1181246],"genre_scores_gemma":[0.9524236,0.001672473,0.03255219,0.0009642142,0.0003198805,0.0002380799,0.0001735019,0.00002639025,0.01162975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01372202,"threshold_uncertainty_score":0.07256985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08360790050604287,"score_gpt":0.4311653368776451,"score_spread":0.3475574363716022,"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."}}