{"id":"W2133209629","doi":"10.1109/ccece.2014.6901105","title":"On the connectivity of multi-band cognitive radio ad hoc networks","year":2014,"lang":"en","type":"article","venue":"","topic":"Mobile Ad Hoc Networks","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognitive radio; Metric (unit); Computer science; Wireless ad hoc network; Metrics; Graph; Graph theory; Computer network; Theoretical computer science; Routing protocol; Mathematics; Routing (electronic design automation); Wireless; Telecommunications; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005487488,0.0006743322,0.0003653103,0.00122873,0.0004038604,0.0007393915,0.0006991416,0.0005255002,0.001046253],"category_scores_gemma":[0.005212411,0.0001792434,0.000314182,0.001613509,0.0010288,0.001807318,0.0006660362,0.0006188042,0.00009946694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007144394,"about_ca_system_score_gemma":0.0002604922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00163784,"about_ca_topic_score_gemma":0.001579926,"domain_scores_codex":[0.9994482,0.0002762787,0.00001909668,0.00007580868,0.0001398622,0.00004070773],"domain_scores_gemma":[0.9963664,0.002954304,0.0002634611,0.0001202925,0.000226992,0.00006862981],"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":[0.00006118341,0.00002237508,0.001400495,0.000129517,0.0000323128,0.000293233,0.0001107417,0.8413419,0.002900761,0.1310411,0.0007498686,0.02191647],"study_design_scores_gemma":[0.000003693974,0.00005714639,0.0008311335,0.00002243862,0.00001252793,0.0001748903,0.00003459493,0.9415921,0.0005074426,0.0553854,0.001368825,0.000009787361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1239646,0.003760949,0.8595974,0.0007094059,0.0001121944,0.00005037981,0.0001678373,0.00009747975,0.01153973],"genre_scores_gemma":[0.9469178,0.004278784,0.04681586,0.00008256649,0.0001912826,0.00008773405,0.0001311231,0.00005147359,0.001443257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00163784,"threshold_uncertainty_score":0.005183637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637821757764681,"score_gpt":0.2346786565743026,"score_spread":0.2183004389966558,"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."}}