{"id":"W3123503807","doi":"10.2139/ssrn.3564451","title":"Information Design in Coordination Games with Risk Dominant Equilibrium Selection","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Intuition; Equilibrium selection; Information structure; Computer science; Coordination game; Pareto principle; Set (abstract data type); Sequential equilibrium; Mathematical economics; Pareto optimal; Class (philosophy); Complete information; Selection (genetic algorithm); Mathematical optimization; Game theory; Repeated game; Economics; Mathematics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006307178,0.0001172915,0.0001721201,0.0002412757,0.0001753377,0.0002317679,0.0003833484,0.00005585507,0.00005571648],"category_scores_gemma":[0.001130074,0.00008155153,0.00005141844,0.001289902,0.00004531904,0.001443163,0.00002644985,0.001047901,0.0002249097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003089528,"about_ca_system_score_gemma":0.0009832355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002014757,"about_ca_topic_score_gemma":0.0001202051,"domain_scores_codex":[0.9974571,0.0004287021,0.0005292824,0.0001597114,0.0005937006,0.0008314842],"domain_scores_gemma":[0.9987041,0.0003566714,0.0004700546,0.0001241545,0.0002531584,0.00009190848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.002697305,0.0001978672,0.02855321,0.000007860269,0.0001269806,0.000002804264,0.008301665,0.0635203,0.009405579,0.424359,0.002236721,0.4605907],"study_design_scores_gemma":[0.002109723,0.001401695,0.006516527,0.00001632093,0.00004028033,0.0002887003,0.01095401,0.0442402,0.003377824,0.9235662,0.007176969,0.0003116228],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3706794,0.000079768,0.6254281,0.00313826,0.00002833304,0.0002067463,0.000001645342,0.00002163823,0.000416047],"genre_scores_gemma":[0.9988681,0.0001069886,0.0005661218,0.0001464367,0.00008772309,0.00001600084,0.000002031958,0.000007303263,0.0001992748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6281887,"threshold_uncertainty_score":0.4552665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02903763114442746,"score_gpt":0.2978351574186006,"score_spread":0.2687975262741731,"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."}}