{"id":"W2160784847","doi":"10.1109/cnsr.2011.11","title":"Cluster Size Optimization in Cooperative Spectrum Sensing","year":2011,"lang":"en","type":"article","venue":"","topic":"Cognitive Radio Networks and Spectrum Sensing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Throughput; Cluster (spacecraft); Transmission (telecommunications); Overhead (engineering); Cluster size; Function (biology)","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":[0.00314197,0.0006764469,0.0007828205,0.0007531709,0.0006558932,0.0008686933,0.001703466,0.0007221223,0.0008436177],"category_scores_gemma":[0.008569014,0.0003913186,0.0003501881,0.0006687155,0.001117771,0.001626547,0.001151227,0.0005604174,0.0001462608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001678466,"about_ca_system_score_gemma":0.001165266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002479914,"about_ca_topic_score_gemma":0.002439754,"domain_scores_codex":[0.9980817,0.0009376613,0.00005971041,0.0003065174,0.0004214132,0.000192957],"domain_scores_gemma":[0.9940731,0.004296175,0.0004631484,0.0003976754,0.0006122005,0.000157758],"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":[0.0001020913,0.00003904525,0.0006739939,0.00006942245,0.00004301922,0.00005965182,0.0000981723,0.9480876,0.003047205,0.02419287,0.000781986,0.02280493],"study_design_scores_gemma":[0.00002242339,0.00006532138,0.0003334648,0.0000104476,0.00001542057,0.00004796868,0.0000396444,0.9841278,0.001712003,0.01276148,0.0008506463,0.00001340207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09956683,0.001512651,0.890341,0.0006039229,0.00008885409,0.0001234787,0.00005863226,0.0002700366,0.00743452],"genre_scores_gemma":[0.9262697,0.0004818517,0.07084725,0.0001366634,0.00005004742,0.00014523,0.00005532516,0.00007403029,0.001939916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00314197,"threshold_uncertainty_score":0.01661652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01767826858919694,"score_gpt":0.2181987304083034,"score_spread":0.2005204618191065,"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."}}