{"id":"W3123211788","doi":"","title":"Large Robust Games","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Variety (cybernetics); Mathematical economics; Economics; Revelation; Differential (mechanical device); Complete information; Cheap talk; Microeconomics; Computer science; Econometrics; Engineering; 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":[0.003642955,0.001221078,0.001426744,0.0006960121,0.0009784059,0.003997223,0.002105244,0.002056434,0.009232511],"category_scores_gemma":[0.01662307,0.0005993707,0.0009555803,0.000586518,0.002876485,0.003738816,0.003302516,0.002584029,0.001321815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001782676,"about_ca_system_score_gemma":0.0007777172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113721,"about_ca_topic_score_gemma":0.001139166,"domain_scores_codex":[0.9959578,0.00205171,0.0001504854,0.0007562996,0.0007574198,0.0003263689],"domain_scores_gemma":[0.9910501,0.005951727,0.0009198235,0.001161736,0.000443345,0.0004732086],"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":[0.00006758033,0.00003140734,0.0002036014,0.0000831479,0.00005776314,0.0001601572,0.0001212907,0.0398337,0.001087883,0.9474064,0.002638974,0.008308117],"study_design_scores_gemma":[0.00004156968,0.0000301811,0.0001295572,0.00001609301,0.00001832034,0.00006807652,0.00004061221,0.1295632,0.0003667754,0.8638043,0.005904505,0.0000167794],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03337044,0.0009157151,0.9014828,0.002615454,0.0001114125,0.000259304,0.0005003324,0.0005764695,0.06016808],"genre_scores_gemma":[0.865965,0.00114834,0.09605588,0.0007872111,0.0004144463,0.000982358,0.0005840295,0.0002110021,0.03385171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009232511,"threshold_uncertainty_score":0.03088588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.158838245806879,"score_gpt":0.4149762538488411,"score_spread":0.2561380080419621,"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."}}