{"id":"W2000470205","doi":"10.1016/j.mathsocsci.2015.02.001","title":"On the centipede game with a social norm","year":2015,"lang":"en","type":"article","venue":"Mathematical Social Sciences","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Mathematical economics; Norm (philosophy); Introspection; Simultaneous game; Computer science; Screening game; Non-cooperative game; Dominance (genetics); Ultimatum game; Subgame perfect equilibrium; Mathematics; Game theory; Mathematical optimization; Psychology; Epistemology; Cognitive psychology; 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":[0.001854087,0.001183706,0.001647331,0.00139254,0.001312659,0.004233913,0.001752152,0.002825955,0.009069224],"category_scores_gemma":[0.01034655,0.0003854402,0.0008197165,0.001080057,0.004143685,0.004826056,0.002582029,0.002697109,0.0004700749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002820128,"about_ca_system_score_gemma":0.002014029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006567696,"about_ca_topic_score_gemma":0.003570443,"domain_scores_codex":[0.9982018,0.001015431,0.00006195817,0.000174507,0.0002831761,0.0002629821],"domain_scores_gemma":[0.9938751,0.004634863,0.0003274966,0.0002107467,0.0004031371,0.0005485889],"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":[0.0001084342,0.00002840889,0.0001829887,0.0000476444,0.0000181098,0.0001011514,0.00008398377,0.04654105,0.000370114,0.9475639,0.001501806,0.003452543],"study_design_scores_gemma":[0.00005336502,0.00006498683,0.0001852058,0.00004312775,0.00001839058,0.00005784151,0.0001334558,0.2640209,0.0001453689,0.7331055,0.002132506,0.00003925531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3143476,0.001229903,0.4536299,0.006498966,0.0007591391,0.0002114399,0.0004307208,0.0001245781,0.2227678],"genre_scores_gemma":[0.9585726,0.0008655171,0.01975626,0.0003579876,0.0002711756,0.0001913865,0.0001053442,0.00004624544,0.01983344],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009069224,"threshold_uncertainty_score":0.0303396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3864524223114388,"score_gpt":0.4546359428157334,"score_spread":0.06818352050429455,"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."}}