{"id":"W2267564286","doi":"10.1007/s00199-018-1120-1","title":"Robust mechanisms: the curvature case","year":2018,"lang":"en","type":"article","venue":"Economic Theory","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Nonlinear pricing; Stochastic game; Monotonic function; Mathematical economics; Robustness (evolution); Mathematical optimization; Mechanism design; Principal (computer security); Incentive compatibility; Transferable utility; Economics; Computer science; Mathematics; Game theory; Microeconomics; Incentive","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":[0.009546987,0.0007092063,0.001755485,0.002012488,0.001321304,0.005649481,0.002866826,0.0060078,0.01186607],"category_scores_gemma":[0.05665426,0.0008247725,0.001807237,0.001543158,0.006822724,0.00962683,0.003758132,0.004386406,0.001446513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682669,"about_ca_system_score_gemma":0.001823765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003381144,"about_ca_topic_score_gemma":0.001251927,"domain_scores_codex":[0.9949975,0.002197964,0.0002010019,0.0008483403,0.0009572104,0.0007979728],"domain_scores_gemma":[0.9562353,0.01965662,0.009194112,0.01008407,0.003030997,0.001798797],"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":[0.00002356678,0.0000130574,0.0005078557,0.00001760356,0.00002677741,0.0000847826,0.00007148493,0.006657196,0.0001406384,0.9892696,0.0005591033,0.00262834],"study_design_scores_gemma":[0.00003946057,0.00001571943,0.0004889138,0.00001704439,0.00002073447,0.00009585787,0.00004050289,0.0290095,0.0001017805,0.9691035,0.001047728,0.00001929172],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2450938,0.002596536,0.6338812,0.02623141,0.0001602425,0.000184932,0.0005450388,0.001069016,0.09023792],"genre_scores_gemma":[0.9811212,0.0006029896,0.009396799,0.0006012096,0.0001581156,0.00007465868,0.00005197562,0.00008589197,0.007907093],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01186607,"threshold_uncertainty_score":0.05048984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870496292240506,"score_gpt":0.2009147530914391,"score_spread":0.172209790169034,"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."}}