{"id":"W2157298719","doi":"10.1109/tcomm.2010.01.080157","title":"Transmission control in cognitive radio as a Markovian dynamic game: Structural result on randomized threshold policies","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Cognitive radio; Computer science; Fading; Channel (broadcasting); Transmission (telecommunications); Computer network; Markov process; Time division multiple access; Nash equilibrium; Mathematical optimization; Markov chain; Telecommunications; Mathematics; Wireless; Statistics","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":[0.000574393,0.0003033761,0.0005126173,0.0004931658,0.0006229777,0.0002065148,0.001146805,0.0001674548,0.00005195231],"category_scores_gemma":[0.00004346958,0.000273774,0.0002913678,0.0007434775,0.0004751,0.0003418124,0.000008007538,0.001478754,0.00002821033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009715751,"about_ca_system_score_gemma":0.0001302778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003757084,"about_ca_topic_score_gemma":0.002209846,"domain_scores_codex":[0.997761,0.000527888,0.0005372011,0.0004494154,0.0003085405,0.0004159618],"domain_scores_gemma":[0.9956248,0.002449219,0.0001384052,0.001477054,0.0001412079,0.0001692963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02991129,0.002272045,0.00006354556,0.00003327957,0.0007607863,0.00007529007,0.01809891,0.01964388,0.01923892,0.07537191,0.0001210618,0.8344091],"study_design_scores_gemma":[0.04443715,0.000164623,0.000781914,0.0002178975,0.00008100391,0.00007883674,0.0001302451,0.9457757,0.001265391,0.006390695,0.0002407169,0.0004358169],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07990166,0.000197936,0.8983926,0.01229009,0.0005140246,0.001345012,0.00004978269,0.0002685605,0.007040397],"genre_scores_gemma":[0.9947792,0.0005034434,0.00351034,0.0008053119,0.00002604333,0.000119474,0.00001057381,0.00002600059,0.0002196215],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9261318,"threshold_uncertainty_score":0.9999714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01366553149635308,"score_gpt":0.288922017809457,"score_spread":0.275256486313104,"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."}}