{"id":"W3145077611","doi":"10.1257/aer.20170297","title":"Behavioral Constraints on the Design of Subgame-Perfect Implementation Mechanisms","year":2021,"lang":"en","type":"article","venue":"American Economic Review","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"University of Melbourne; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Subgame perfect equilibrium; Arbitration; Economics; Reciprocity (cultural anthropology); Microeconomics; Mechanism (biology); Mechanism design; Subgame; Mathematical economics; Game theory; Repeated game; Law; Psychology; Equilibrium selection; Social psychology","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":[0.01610022,0.001037477,0.001200386,0.0008249226,0.0008068191,0.00335565,0.002141429,0.002433502,0.006533673],"category_scores_gemma":[0.05108599,0.001133513,0.0008995,0.0008162701,0.00355975,0.004906439,0.001815958,0.003373818,0.0007482608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001704123,"about_ca_system_score_gemma":0.002527798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000582745,"about_ca_topic_score_gemma":0.0005022577,"domain_scores_codex":[0.9877415,0.00882443,0.0007340631,0.0007953857,0.001204738,0.0006999764],"domain_scores_gemma":[0.9337591,0.0477285,0.00925048,0.005038813,0.00298646,0.001236795],"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":[0.0001108325,0.00009827848,0.001418406,0.0003109998,0.00009408865,0.00009378335,0.000269332,0.05891939,0.002088969,0.9200181,0.0008132183,0.01576463],"study_design_scores_gemma":[0.0001655472,0.0002958031,0.0007140472,0.00009614335,0.00006790138,0.0001025681,0.0001704132,0.1392963,0.001427628,0.8532416,0.004389445,0.00003270358],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1433701,0.0007082695,0.810845,0.002802758,0.0001021427,0.000484465,0.0001856175,0.0002033862,0.0412983],"genre_scores_gemma":[0.9104595,0.0007145824,0.08365323,0.000412566,0.00004786117,0.0007685504,0.00008771472,0.00005583197,0.003800153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01610022,"threshold_uncertainty_score":0.08514714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1797078265925145,"score_gpt":0.4542655825059539,"score_spread":0.2745577559134393,"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."}}