{"id":"W2551689890","doi":"10.22215/etd/2011-06874","title":"Outage in large wireless networks with spectrum sharing under Rayleigh fading","year":2011,"lang":"en","type":"dissertation","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Heritage; Library and Archives Canada","funders":"","keywords":"Rayleigh fading; Fading; Wireless; Telecommunications; Computer science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003461978,0.0005277513,0.0006120717,0.0004144136,0.000206149,0.0004120642,0.0008772725,0.0003409054,0.0001083976],"category_scores_gemma":[0.000004323873,0.0004622728,0.0001275055,0.0008381392,0.00002144643,0.0004858983,0.0001582333,0.0009250575,0.00002107771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001499939,"about_ca_system_score_gemma":0.00009775575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003625213,"about_ca_topic_score_gemma":0.02435797,"domain_scores_codex":[0.9970079,0.00005383891,0.0004574088,0.00113904,0.000342204,0.0009995779],"domain_scores_gemma":[0.9988108,0.00008453885,0.000253623,0.0006438703,0.00006426233,0.0001428951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004001459,0.0005561292,0.02376755,0.0002358377,0.0004876039,0.001922889,0.00839954,0.01045346,0.000106724,0.902889,0.000250475,0.05053066],"study_design_scores_gemma":[0.001693377,0.0001920373,0.05009316,0.001610493,0.00006442284,0.00007680841,0.001132393,0.9334221,0.0006374395,0.008907509,0.0001724779,0.001997723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1725914,0.0004278084,0.7284349,0.00006742543,0.001164746,0.0004751285,0.00000149787,0.0003588902,0.0964782],"genre_scores_gemma":[0.9908344,0.0001269998,0.001840779,0.0001946912,0.0002815468,0.00001241293,0.00009542413,0.00007672142,0.006537055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9229687,"threshold_uncertainty_score":0.9997829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340223236581037,"score_gpt":0.2317769802598861,"score_spread":0.2183747478940757,"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."}}