{"id":"W2138758246","doi":"10.1109/glocom.2011.6134370","title":"A Novel Routing Algorithm in Cognitive Radio Ad Hoc Networks","year":2011,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Communications Research Centre Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Link-state routing protocol; Computer network; Dynamic Source Routing; Destination-Sequenced Distance Vector routing; Static routing; Wireless Routing Protocol; Multipath routing; Distributed computing; Policy-based routing; Optimized Link State Routing Protocol; Wireless ad hoc network; Adaptive quality of service multi-hop routing; Routing protocol; Routing (electronic design automation); Telecommunications; Wireless","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005908628,0.0005347522,0.0005097115,0.0008175467,0.0005971233,0.0009276015,0.001261618,0.0008635536,0.001332929],"category_scores_gemma":[0.001745305,0.0002757927,0.0003971873,0.001032312,0.0005232203,0.001727885,0.0008444762,0.0008907435,0.0006339753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460998,"about_ca_system_score_gemma":0.0007412085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001077204,"about_ca_topic_score_gemma":0.001586231,"domain_scores_codex":[0.9994701,0.0001328827,0.00003892632,0.0001173319,0.000198483,0.00004232256],"domain_scores_gemma":[0.9995672,0.0001449185,0.00005084532,0.0000742616,0.0001397277,0.00002295387],"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":[0.0001368586,0.0001072774,0.0004147708,0.0002840667,0.00008114318,0.0001543513,0.0001513411,0.2232489,0.02582377,0.1036385,0.008592669,0.6373664],"study_design_scores_gemma":[0.00007314957,0.0001816569,0.0001515602,0.00003807398,0.0000488737,0.0004010512,0.00005841695,0.9207814,0.008123655,0.02898495,0.04111139,0.00004575497],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003546315,0.0004185608,0.9928201,0.0001488178,0.0001825932,0.00007284262,0.00002633115,0.000448905,0.002335624],"genre_scores_gemma":[0.07020048,0.0007029625,0.9245845,0.0001888141,0.0001363883,0.0001469203,0.0001338445,0.00008263659,0.003823485],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001332929,"threshold_uncertainty_score":0.004459143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03136123635008278,"score_gpt":0.2406452356984697,"score_spread":0.2092839993483869,"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."}}