{"id":"W2027329806","doi":"10.1109/iswcs.2010.5624370","title":"Distributed selection of sensing nodes in cognitive radio networks","year":2010,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"Cognitive radio; Computer science; Node (physics); Reliability (semiconductor); Cluster analysis; Selection (genetic algorithm); Shadow (psychology); Computer network; Affinity propagation; Fading; Distributed computing; Wireless sensor network; Data mining; Wireless; Artificial intelligence; Telecommunications; Engineering; Fuzzy clustering","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":[0.001014806,0.0003222878,0.0004310928,0.0003302868,0.0005403563,0.000551631,0.0009691484,0.0007167069,0.0003246475],"category_scores_gemma":[0.003343231,0.0002472392,0.000182307,0.0004609909,0.001010261,0.000910586,0.0007090521,0.0004330969,0.000196592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002993223,"about_ca_system_score_gemma":0.0004147939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000838011,"about_ca_topic_score_gemma":0.001030239,"domain_scores_codex":[0.9991822,0.0003227297,0.00002901799,0.0001793853,0.0002324896,0.00005417754],"domain_scores_gemma":[0.9985148,0.0009550746,0.0001524759,0.0001594894,0.0001576986,0.00006037498],"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":[0.0003865704,0.0001729325,0.003629072,0.0002347481,0.00007663295,0.0005448107,0.0006960983,0.5324231,0.04198715,0.1218591,0.002240423,0.2957494],"study_design_scores_gemma":[0.00004755795,0.0001769387,0.0006672983,0.00001463568,0.00002610582,0.0002578224,0.00007392098,0.9484224,0.007133891,0.04022457,0.002931706,0.00002311073],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03939053,0.0007782039,0.9578297,0.0001316035,0.00005775853,0.00003284601,0.00000701905,0.0001614146,0.001611059],"genre_scores_gemma":[0.8687586,0.0005670995,0.1287726,0.00008236198,0.0001163318,0.0000843613,0.00002324438,0.00001986109,0.00157565],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001014806,"threshold_uncertainty_score":0.005366862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042242881993508,"score_gpt":0.2381402185890358,"score_spread":0.2277177897691007,"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."}}