{"id":"W1497831848","doi":"10.48550/arxiv.1207.2094","title":"The Capacity of More Capable Cognitive Interference Channels","year":2012,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Wireless Communication Security Techniques","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interference (communication); Cognition; Computer science; Channel (broadcasting); Telecommunications; Psychology; Neuroscience","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":[0.0002357408,0.0002467498,0.0002886679,0.0001137503,0.0001058062,0.00003119537,0.001111371,0.0002717402,0.00002843415],"category_scores_gemma":[0.0000450791,0.0002492869,0.0001317457,0.000220536,0.0003408661,0.0001569614,0.0008636826,0.000807639,0.00002156839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446359,"about_ca_system_score_gemma":0.00003313149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002206857,"about_ca_topic_score_gemma":0.00006935648,"domain_scores_codex":[0.9991036,0.0001017339,0.0002077185,0.0002491634,0.00006170174,0.0002760981],"domain_scores_gemma":[0.9983404,0.0002466989,0.0001537136,0.0009445035,0.0002285472,0.0000861068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003575277,0.0008751845,0.01508403,0.003615218,0.003360512,0.00007106148,0.03260882,0.434749,0.005390207,0.4913401,0.005157793,0.007390574],"study_design_scores_gemma":[0.001213431,0.0001153365,0.004346715,0.003050635,0.0007503412,0.0000138041,0.005723949,0.7746924,0.1312127,0.07164843,0.004258205,0.002974116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9183967,0.0005402319,0.07318151,0.00003309573,0.0003949205,0.0004119409,0.00009342245,0.0005402691,0.006407926],"genre_scores_gemma":[0.998054,0.001546563,0.0001285474,0.000009032353,0.0000364545,0.000004868818,0.00002084373,0.00003101521,0.000168629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4196917,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09219998874790677,"score_gpt":0.2016892878575517,"score_spread":0.109489299109645,"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."}}