{"id":"W2062007216","doi":"10.1049/iet-com.2014.0205","title":"Reliability‐based decision fusion scheme for cooperative spectrum sensing","year":2014,"lang":"en","type":"article","venue":"IET Communications","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Reliability (semiconductor); Computer science; Spectrum (functional analysis); Fusion; Scheme (mathematics); Reliability engineering; Sensor fusion; Artificial intelligence; Mathematics; Physics; Engineering","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":[0.0007060582,0.0001485211,0.0001987514,0.0001001626,0.0008495411,0.0002114536,0.001019226,0.00006820593,0.000005248712],"category_scores_gemma":[0.0004107443,0.0001420593,0.0001090327,0.0004727056,0.0001262946,0.0002517686,0.0004278942,0.0002182022,0.00002222974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008468013,"about_ca_system_score_gemma":0.00008102757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002949881,"about_ca_topic_score_gemma":0.0002219648,"domain_scores_codex":[0.9986581,0.0002407213,0.0002903266,0.0003635933,0.0001705834,0.0002767369],"domain_scores_gemma":[0.9947993,0.002239036,0.0001030335,0.002476102,0.00029215,0.00009035427],"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":[0.00008315331,0.0004380825,0.0002591643,0.00002344347,0.00004052513,0.000001941581,0.001172104,0.004697958,0.01250981,0.3612488,0.004257521,0.6152675],"study_design_scores_gemma":[0.0004824724,0.00009530017,0.0005363347,0.00007619799,0.000007383736,0.000005193143,0.00002027608,0.9539896,0.001384301,0.01662092,0.02659953,0.0001825219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01125186,0.0001126302,0.9773484,0.007491035,0.0001802102,0.000361634,0.000004023314,0.000189201,0.003061023],"genre_scores_gemma":[0.5786703,0.00002675044,0.4207288,0.0004678346,0.00005292237,0.000006039865,0.00001466354,0.000009402702,0.00002326013],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9492916,"threshold_uncertainty_score":0.6534069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02479238218581995,"score_gpt":0.2865946680952486,"score_spread":0.2618022859094287,"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."}}