{"id":"W3216186171","doi":"10.1109/tit.2021.3130672","title":"Signaling Games for Log-Concave Distributions: Number of Bins and Properties of Equilibria","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Information Theory","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","keywords":"Mathematics; Computer science; Combinatorics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001315954,0.00009915925,0.000219838,0.0001125256,0.0001720511,0.00006451147,0.000176891,0.00006936639,0.0003839731],"category_scores_gemma":[0.0003202487,0.00007874177,0.0001323431,0.0004371528,0.0002682397,0.0008251191,0.000003515646,0.00008333476,0.0000543906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001633545,"about_ca_system_score_gemma":0.0001035023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002115183,"about_ca_topic_score_gemma":0.000001447356,"domain_scores_codex":[0.9985268,0.0001461506,0.0007703725,0.0001309741,0.0003058031,0.0001199633],"domain_scores_gemma":[0.9975598,0.001107895,0.0003002691,0.0003298024,0.0006517409,0.00005043096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007238835,0.0003643582,0.00005817193,0.0002186594,0.0001627185,2.171085e-7,0.007874971,0.006043938,0.137973,0.7045756,0.0002965975,0.1417079],"study_design_scores_gemma":[0.0004830729,0.00004703321,0.00005704919,0.00006358435,0.0000440792,0.00001156535,0.005794154,0.001615898,0.8144408,0.1758243,0.001507625,0.000110812],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3441148,0.00003363987,0.654254,0.0001369004,0.00009681684,0.0001979492,0.000329641,0.00001946715,0.0008167559],"genre_scores_gemma":[0.9980476,0.00001923417,0.001325587,0.00007401389,0.000009697145,0.00008873825,0.00001138366,0.000004682397,0.000419088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6764678,"threshold_uncertainty_score":0.4204236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05892772905386916,"score_gpt":0.3278175994850636,"score_spread":0.2688898704311944,"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."}}