{"id":"W1973012941","doi":"10.1109/infocom.2014.6848152","title":"Probability distribution of spectral hole duration in cognitive networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Idle; Exponential distribution; Independent and identically distributed random variables; Cognitive radio; Channel (broadcasting); Proxy (statistics); Probability distribution; Mathematics; Random variable; Exponential function; Computer science; Topology (electrical circuits); Exponential growth; Statistics; Statistical physics; Telecommunications; Physics; Mathematical analysis; Combinatorics","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":[0.002580165,0.0005832715,0.0005707048,0.001173408,0.0005194051,0.001158859,0.001044806,0.00089828,0.00110507],"category_scores_gemma":[0.01524829,0.0005178553,0.0003624524,0.0007347896,0.002320536,0.00197149,0.001008579,0.0009090616,0.0001498327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00135504,"about_ca_system_score_gemma":0.0004670366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001589659,"about_ca_topic_score_gemma":0.001037324,"domain_scores_codex":[0.9993766,0.0001866673,0.00002826197,0.0001289449,0.0001294275,0.0001502043],"domain_scores_gemma":[0.9870982,0.009130505,0.001966537,0.0006922421,0.0007129865,0.000399555],"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":[0.0006827415,0.0001497802,0.02730276,0.0002211387,0.0001141495,0.001150103,0.001112396,0.7200774,0.02062548,0.2072295,0.001418871,0.01991571],"study_design_scores_gemma":[0.0000266464,0.00009501136,0.007971323,0.0000435702,0.00003464396,0.0004145709,0.0002562419,0.9417423,0.003194391,0.04559999,0.0005699092,0.00005142517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7729838,0.000964582,0.2218539,0.0005402684,0.00003992595,0.00005607023,0.0002101544,0.0002319974,0.003119347],"genre_scores_gemma":[0.9968189,0.0001856122,0.002459095,0.00002451685,0.0000220764,0.00002291194,0.00003750174,0.00001765312,0.0004116741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002580165,"threshold_uncertainty_score":0.01364541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0169313078391783,"score_gpt":0.2343594579226944,"score_spread":0.2174281500835161,"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."}}