{"id":"W3049188014","doi":"10.2139/ssrn.3655889","title":"Quasi Ex-Post Equilibrium in Competing Mechanisms","year":2020,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Principal (computer security); Mathematical economics; Competition (biology); Revelation; Set (abstract data type); Ex-ante; Solution concept; Computer science; Sequential equilibrium; Economics; Mathematical optimization; Equilibrium selection; Mathematics; Game theory; Repeated game; Philosophy","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":[0.01012813,0.001281465,0.002810558,0.00138188,0.001779648,0.008255194,0.003614285,0.005729211,0.0195569],"category_scores_gemma":[0.03687315,0.001692803,0.001666247,0.001765991,0.003603322,0.01149467,0.003202721,0.003780875,0.00150394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002532376,"about_ca_system_score_gemma":0.002077583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008631842,"about_ca_topic_score_gemma":0.0007731491,"domain_scores_codex":[0.9940597,0.003854573,0.0002887642,0.0005731828,0.0005908113,0.0006329208],"domain_scores_gemma":[0.9535007,0.03836699,0.002927722,0.002248574,0.001431006,0.001525016],"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":[0.0002582229,0.00009671249,0.0004364105,0.0001452249,0.0000471331,0.0001382724,0.0001699132,0.01288593,0.000474338,0.9809116,0.001066048,0.003370212],"study_design_scores_gemma":[0.0001515143,0.00007229196,0.0001998127,0.00002269621,0.0000189289,0.00009819693,0.00006451622,0.06487545,0.0001889589,0.9337993,0.0004895707,0.00001879706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3125077,0.0009188227,0.6180406,0.005062609,0.0001976336,0.0003219692,0.0006285073,0.0004866481,0.06183543],"genre_scores_gemma":[0.9330937,0.0005333513,0.04279884,0.0004903552,0.000190924,0.0005038977,0.0002375996,0.0001377909,0.02201354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0195569,"threshold_uncertainty_score":0.06542438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05860457647615001,"score_gpt":0.3563797828271119,"score_spread":0.2977752063509619,"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."}}