{"id":"W3015787955","doi":"10.48550/arxiv.2004.03954","title":"A Simple Capacity Outer Bound for Two-Way Channels and Capacity Approximation Results","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Channel capacity; Upper and lower bounds; Symmetry (geometry); Coding (social sciences); Simple (philosophy); Channel (broadcasting); Computation; Mathematics; Computer science; Algorithm; Mathematical analysis; Statistics; Geometry; Telecommunications","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":[0.003488702,0.001643721,0.001361655,0.002131318,0.001124884,0.002368555,0.002109188,0.001391343,0.006122981],"category_scores_gemma":[0.0248888,0.0005085689,0.00143769,0.002684763,0.004594293,0.005791926,0.003108598,0.004330632,0.001104848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002034914,"about_ca_system_score_gemma":0.001501073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001578633,"about_ca_topic_score_gemma":0.0008950112,"domain_scores_codex":[0.9963884,0.0009438986,0.0001396244,0.0004199676,0.001533235,0.0005747834],"domain_scores_gemma":[0.9820379,0.01309385,0.0009957809,0.002067519,0.001490006,0.000314943],"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":[0.0002095555,0.0001019863,0.0007133196,0.0003099233,0.00005373588,0.0002506872,0.0002962733,0.252461,0.00989356,0.7016754,0.003526289,0.03050839],"study_design_scores_gemma":[0.00001414587,0.00005891321,0.0002999718,0.00006314873,0.00002267809,0.0002128436,0.00005476222,0.6852641,0.01065933,0.3006681,0.002613576,0.00006852469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0204306,0.001040124,0.9572583,0.0004363394,0.0001259598,0.00008707784,0.0001919259,0.0003641942,0.02006539],"genre_scores_gemma":[0.801109,0.00199651,0.1886269,0.0004348846,0.0003310893,0.0004358676,0.0004326258,0.0004036314,0.00622953],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006122981,"threshold_uncertainty_score":0.02048337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1160301904474572,"score_gpt":0.2121868979237297,"score_spread":0.09615670747627247,"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."}}