{"id":"W2028037351","doi":"10.1109/ccece.2013.6567750","title":"A reduced search space routing algorithm for large-scale cognitive radio wireless","year":2013,"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":"University of Ottawa","funders":"","keywords":"Cognitive radio; Throughput; Computer science; Reduction (mathematics); Computational complexity theory; Routing (electronic design automation); Simple (philosophy); Wireless; Computer network; Algorithm; Mathematics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0004488151,0.0002075588,0.0002738997,0.0001029595,0.0003757245,0.0004565458,0.0003500813,0.00008303159,0.00005807072],"category_scores_gemma":[0.00003353018,0.0001887272,0.0001346464,0.0004604885,0.00004260332,0.000552271,0.000212271,0.000210415,0.00008915821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006732577,"about_ca_system_score_gemma":0.00008574892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001848932,"about_ca_topic_score_gemma":0.00004464787,"domain_scores_codex":[0.9979226,0.00009221945,0.0002335624,0.0006317153,0.000277524,0.000842353],"domain_scores_gemma":[0.9985636,0.0004951154,0.00006370488,0.0002751787,0.0004004717,0.0002019172],"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":[0.000007115833,0.000119094,0.0001664875,0.00001015,0.00006447518,0.00001504831,0.002056575,0.00001144648,0.001978511,0.02385346,0.001523809,0.9701938],"study_design_scores_gemma":[0.0009773576,0.0001072747,0.001373761,0.00006839503,0.00001029439,0.00003989828,0.0008164004,0.9850646,0.01008613,0.0009731397,0.0001766053,0.000306206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0778212,0.00004744616,0.9145636,0.001304287,0.0002453138,0.0008142287,0.000006287511,0.0002333351,0.004964286],"genre_scores_gemma":[0.8320293,0.000008503285,0.1659536,0.0003545578,0.0003570435,0.00004439298,0.0000077887,0.00002342397,0.001221409],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9850531,"threshold_uncertainty_score":0.7696071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01555024319055186,"score_gpt":0.2574480699294497,"score_spread":0.2418978267388978,"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."}}