{"id":"W3191578566","doi":"","title":"Signaling Games in Higher Dimensions: Geometric Properties of Equilibrium Solutions","year":2021,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Independent and identically distributed random variables; Gaussian; Scalar (mathematics); Mathematical optimization; Signaling game; Computer science; Distortion (music); Generalization; Applied mathematics; Mathematics; Quadratic equation; Mathematical economics; Mathematical analysis; Random variable; Physics; Geometry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001926163,0.0002266357,0.0003977438,0.0008042774,0.00003988016,0.00003150694,0.0006491808,0.0002944003,0.00004372192],"category_scores_gemma":[0.00004239394,0.0002896118,0.0001506399,0.001201921,0.0001172929,0.000218348,0.001197703,0.0006292278,0.000004562261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064233,"about_ca_system_score_gemma":0.0001187194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002852897,"about_ca_topic_score_gemma":0.00005486621,"domain_scores_codex":[0.9988899,0.0001178003,0.0003092545,0.0003503264,0.00007501822,0.0002576799],"domain_scores_gemma":[0.9986395,0.00006943844,0.0001080825,0.0009613655,0.0001634265,0.0000581601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001182041,0.0001853991,0.001032714,0.0006355137,0.0001524902,0.00004805095,0.0004991097,0.951579,0.03475308,0.01081579,0.0001162925,0.0001707808],"study_design_scores_gemma":[0.001279448,0.00005789101,0.003994436,0.004831952,0.000262182,0.00000596272,0.002283838,0.7331297,0.2412949,0.009502438,0.001107488,0.002249786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9841794,0.004867612,0.008893009,0.00004880296,0.0001616359,0.0002438429,0.00001052995,0.0004843386,0.001110791],"genre_scores_gemma":[0.9972129,0.001521387,0.001047396,0.000008724552,0.00001529185,0.000004418624,0.00002197125,0.00003864114,0.0001292373],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2184493,"threshold_uncertainty_score":0.9999556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424011613294228,"score_gpt":0.1918031137362262,"score_spread":0.0494019524068034,"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."}}