{"id":"W2064092307","doi":"10.1109/wcnc.2014.6952237","title":"Transient analysis in cognitive radio collaborative spectrum sensing","year":2014,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transient (computer programming); Cognitive radio; Computer science; Expression (computer science); Cascading Style Sheets; Transient analysis; Energy (signal processing); Spectrum (functional analysis); Steady state (chemistry); Computational complexity theory; Algorithm; Mathematics; Telecommunications; Physics; Statistics; Chemistry; Wireless; World Wide Web","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":[0.0005105395,0.0002053194,0.0004267041,0.0005733391,0.000123632,0.0002104649,0.0001999719,0.00006116563,0.00004073064],"category_scores_gemma":[0.00005175658,0.0001911699,0.0001451328,0.00372141,0.00006699795,0.0002988707,0.00005604446,0.0001905847,0.00002207934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000877866,"about_ca_system_score_gemma":0.00005698283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001350302,"about_ca_topic_score_gemma":0.002959261,"domain_scores_codex":[0.9980707,0.0002707862,0.0003065795,0.0006124809,0.0002721298,0.0004673857],"domain_scores_gemma":[0.9989521,0.0004525087,0.00007838746,0.0002781644,0.0001159446,0.0001229278],"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":[0.0002076996,0.0005634462,0.01812097,0.00002352787,0.002368623,0.0007597296,0.02212078,0.01952746,0.001458293,0.2049411,0.0007370665,0.7291713],"study_design_scores_gemma":[0.0008118807,0.0001124963,0.03179752,0.00003401159,0.0001146429,0.00001763002,0.0003049487,0.9619515,0.001814169,0.002302615,0.0003710169,0.0003675632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1012257,0.00007042738,0.8689301,0.001239466,0.000128104,0.0001692937,0.000001620272,0.0001150241,0.02812025],"genre_scores_gemma":[0.9869282,0.00002061519,0.01234603,0.0004822308,0.00009255485,0.000001160354,0.00000473425,0.000008956658,0.0001154812],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9424241,"threshold_uncertainty_score":0.7795681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009601973765849071,"score_gpt":0.2378893141013481,"score_spread":0.2282873403354991,"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."}}