{"id":"W4383105304","doi":"10.1016/j.jet.2023.105690","title":"Derandomization of persuasion mechanisms","year":2023,"lang":"en","type":"article","venue":"Journal of Economic Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"York University; University of Michigan","keywords":"Persuasion; Mechanism (biology); Communication source; Set (abstract data type); Computer science; Microeconomics; Mathematical economics; Psychology; Economics; Social psychology; Epistemology; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008633948,0.00005365859,0.0002459213,0.0003276095,0.00005837643,0.00003234699,0.0004153232,0.0000371574,0.001006246],"category_scores_gemma":[0.0008648893,0.00003814039,0.0001689983,0.0001877269,0.00005565717,0.0002177599,0.00004255071,0.00006959479,0.000495789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002501189,"about_ca_system_score_gemma":0.00006485808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.118261e-7,"about_ca_topic_score_gemma":6.764068e-7,"domain_scores_codex":[0.9986594,0.0002515252,0.0007407409,0.00009481235,0.000171765,0.00008179126],"domain_scores_gemma":[0.9969799,0.001868547,0.000771221,0.0002096162,0.0001179936,0.00005273897],"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":[0.0003158086,0.00002170011,0.000087509,0.000001603337,0.00002486479,0.000001488446,0.0005969721,0.00585928,0.01115174,0.962996,0.001923334,0.01701969],"study_design_scores_gemma":[0.0007817877,0.00004520813,0.0004992862,0.000008520696,0.00001302967,0.00001804006,0.00183363,0.0008248589,0.007620012,0.9871979,0.001118496,0.00003920562],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9202178,0.00004329744,0.07472616,0.0005059642,0.0004755523,0.00007166169,0.000007032271,0.000010193,0.003942373],"genre_scores_gemma":[0.9980445,0.0000300101,0.0005132125,0.00004455417,0.00008341667,0.000001207187,6.19321e-7,0.000005773863,0.001276743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07782669,"threshold_uncertainty_score":0.999907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08928588245972705,"score_gpt":0.3867462718643636,"score_spread":0.2974603894046366,"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."}}