{"id":"W2123958309","doi":"10.1109/iciinfs.2009.5429879","title":"Energy detection of primary signals over &amp;#x03B7; - &amp;#x03BC; fading channels","year":2009,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fading; Detector; Energy (signal processing); Fading distribution; Channel (broadcasting); Cognitive radio; Maximal-ratio combining; Computer science; Electronic engineering; Detection theory; Telecommunications; Diversity scheme; SIGNAL (programming language); Statistics; Engineering; Mathematics; Wireless","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":[0.0007750892,0.0006010331,0.0005830589,0.0003334831,0.0002717543,0.0008036424,0.0004111653,0.000421553,0.001152691],"category_scores_gemma":[0.004791039,0.0001335335,0.000157658,0.0004289864,0.0005481672,0.0006610889,0.0003558105,0.0002656041,0.0004380372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006070819,"about_ca_system_score_gemma":0.0004049763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001408367,"about_ca_topic_score_gemma":0.0009078801,"domain_scores_codex":[0.9993687,0.0001440776,0.00001824298,0.0001294104,0.0002200733,0.0001195452],"domain_scores_gemma":[0.9979748,0.001288451,0.000242271,0.0001330262,0.0003289928,0.00003258756],"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":[0.0007475768,0.000111937,0.006818631,0.0002580735,0.00007674853,0.0009538222,0.0002280573,0.7090772,0.05151903,0.04766335,0.001631581,0.1809139],"study_design_scores_gemma":[0.000008243939,0.0001273602,0.001041859,0.00001341857,0.00001688668,0.0004133792,0.00002695011,0.9695971,0.01818039,0.009734049,0.0008275412,0.00001286497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2070689,0.0007177182,0.7817556,0.0002073621,0.00003722679,0.00002702682,0.00009820654,0.0005348352,0.009552994],"genre_scores_gemma":[0.9851621,0.0002053775,0.01364542,0.00004201069,0.00001406887,0.000007737163,0.00001950688,0.00001144013,0.0008922722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001408367,"threshold_uncertainty_score":0.004404783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0206067857951036,"score_gpt":0.2369388735104645,"score_spread":0.2163320877153609,"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."}}