{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001991249,0.0001520816,0.0004025995,0.000349831,0.0001193466,0.0001116785,0.0001322614,0.00004196595,0.00003694521],"category_scores_gemma":[0.00001504977,0.0001010978,0.0001028876,0.001094473,0.00008296189,0.0002773869,0.0001423762,0.00005026563,0.000001793584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003702342,"about_ca_system_score_gemma":0.00001805081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330501,"about_ca_topic_score_gemma":0.000144494,"domain_scores_codex":[0.9988163,0.0001078916,0.0002473895,0.0003900368,0.0001681742,0.0002702641],"domain_scores_gemma":[0.9992082,0.0002559909,0.0001010309,0.0002618254,0.00008427063,0.00008865156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001173584,0.0001012258,0.01009278,0.00001668488,0.004200358,0.0001515832,0.003822134,0.006960294,0.5067647,0.3121971,0.00030463,0.1552712],"study_design_scores_gemma":[0.0007495543,0.00006071623,0.01240692,0.00005403188,0.0001854647,0.0000166981,0.00001894997,0.9452105,0.03980879,0.001130263,0.00008527597,0.0002727848],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4474163,0.00004854993,0.5509797,0.0005028423,0.00007807564,0.00005504417,0.000001947307,0.00004299004,0.0008745479],"genre_scores_gemma":[0.9877444,0.00006273077,0.01164061,0.0002095551,0.00005695328,2.416017e-7,0.000001441957,0.000007011564,0.000277048],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9382502,"threshold_uncertainty_score":0.4122648,"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."}}