{"id":"W3099094437","doi":"","title":"1 Unified Analysis of Cooperative Spectrum Sensing over Composite and Generalized Fading Channels","year":2016,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Fading; Multipath propagation; Fading distribution; Probability density function; Algorithm; Monte Carlo method; Topology (electrical circuits); Mathematics; Computer science; Statistical physics; Electronic engineering; Channel (broadcasting); Telecommunications; Statistics; Physics; Engineering; Rayleigh fading","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":[0.002644133,0.0009314779,0.0009176268,0.0006562659,0.0003408866,0.001408284,0.0009878334,0.0009106272,0.001222959],"category_scores_gemma":[0.007572724,0.000363966,0.0007132568,0.0007724009,0.002166131,0.001776292,0.001717053,0.000863507,0.0001826292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009877195,"about_ca_system_score_gemma":0.0007519363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847851,"about_ca_topic_score_gemma":0.001282048,"domain_scores_codex":[0.9987865,0.0004472542,0.00002880858,0.0001521125,0.0003951921,0.0001901595],"domain_scores_gemma":[0.9952654,0.003208072,0.0004558977,0.0003327795,0.0006037978,0.0001340978],"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":[0.00007849767,0.00001980955,0.0007489392,0.0000513399,0.00003482867,0.0001754536,0.0000938841,0.9487139,0.003743825,0.04173758,0.0001694613,0.004432408],"study_design_scores_gemma":[0.000002491157,0.00001969764,0.0001841168,0.000004646422,0.000005844917,0.00004177646,0.00001637949,0.9921461,0.0003918688,0.007111846,0.00006897864,0.000006239868],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1353714,0.0004545493,0.8580056,0.0001708717,0.00002862988,0.00003548665,0.0000448883,0.0001238942,0.005764742],"genre_scores_gemma":[0.9791724,0.0002372436,0.01952585,0.00004518051,0.00002950232,0.00003041836,0.00002398677,0.00002278415,0.0009126902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002644133,"threshold_uncertainty_score":0.01398373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01570516647829295,"score_gpt":0.2433217891298425,"score_spread":0.2276166226515496,"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."}}