{"id":"W2019472502","doi":"10.1109/vtcf.2006.537","title":"Scatternet Formation for IEEE 802.15.3 WPANs","year":2006,"lang":"en","type":"article","venue":"IEEE Vehicular Technology Conference","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Scatternet; Computer network; Greedy algorithm; Distributed computing; Set (abstract data type); Cluster analysis; Network topology; Wireless network; Wireless; Throughput; Algorithm; Bluetooth","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":[0.000636308,0.0003486498,0.0003955727,0.0002577225,0.0005192073,0.0004537031,0.0004139314,0.0003418641,0.0006072161],"category_scores_gemma":[0.001945401,0.0002112513,0.0003135357,0.0003771114,0.0005146588,0.0008233426,0.0009405468,0.0003994478,0.0001707949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004389395,"about_ca_system_score_gemma":0.000511036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001254774,"about_ca_topic_score_gemma":0.001382722,"domain_scores_codex":[0.9995947,0.0001730311,0.00001843595,0.00006768331,0.000113058,0.000033006],"domain_scores_gemma":[0.9992996,0.0003122812,0.0001161113,0.0001360972,0.0001036818,0.00003220121],"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":[0.00008489037,0.00002716021,0.001058694,0.00005315451,0.00004122367,0.0001277312,0.0001445454,0.8972054,0.01270517,0.03570284,0.0008089782,0.05204029],"study_design_scores_gemma":[0.00001133396,0.00007308774,0.0003498382,0.00000577444,0.000008486905,0.000115508,0.00003972169,0.9761754,0.003564996,0.0172878,0.002360467,0.000007659788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0306982,0.0001402307,0.967802,0.00007931662,0.00003984621,0.00002212153,0.00001767979,0.0001317341,0.001068766],"genre_scores_gemma":[0.8304753,0.0003118744,0.1668551,0.00006250475,0.00003505651,0.0001008458,0.0001148304,0.00003957917,0.002004949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001254774,"threshold_uncertainty_score":0.003365159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972503211535659,"score_gpt":0.2374745625973707,"score_spread":0.2177495304820141,"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."}}