{"id":"W1673833108","doi":"10.1109/ipdps.2002.1016541","title":"Dominating set based bluetooth scatternet formation with localized maintenance","year":2002,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Scatternet; Computer science; Computer network; Bluetooth; Wireless ad hoc network; Node (physics); Neighbourhood (mathematics); Overhead (engineering); Topology (electrical circuits); Locality; Distributed computing; Wireless; Mathematics; Combinatorics; 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":[0.0001712871,0.00012736,0.0001329426,0.0001250006,0.0001321015,0.0001805691,0.00126678,0.00005967419,0.00006916216],"category_scores_gemma":[0.00003846515,0.00009193731,0.00003128805,0.0004696736,0.00008931541,0.0008299914,0.0001807215,0.0001366453,0.0001032282],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003910777,"about_ca_system_score_gemma":0.00001272419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000236963,"about_ca_topic_score_gemma":0.00002818139,"domain_scores_codex":[0.999046,0.00004892545,0.0002101376,0.0002214263,0.0002102337,0.0002632328],"domain_scores_gemma":[0.9986533,0.00009475184,0.0001300734,0.0009859732,0.00008834064,0.00004757056],"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":[0.00002783796,0.000246706,0.002749744,0.0001049081,0.00002871335,0.0000207018,0.002051303,0.001802255,0.0006695226,0.2320157,0.04565196,0.7146307],"study_design_scores_gemma":[0.0009140855,0.00008410995,0.0002112448,0.00006598839,0.000002487321,0.00001624939,0.000158725,0.9743306,0.01447282,0.0007372029,0.00879183,0.0002146366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008526598,0.00009086027,0.9750732,0.00689796,0.00002729969,0.00015578,0.000001158488,0.0009293846,0.008297751],"genre_scores_gemma":[0.8156329,0.00002663726,0.1826781,0.001199769,0.000004826754,0.00003558792,0.000002802195,0.000006128469,0.0004132779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9725283,"threshold_uncertainty_score":0.3749094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02496933195779098,"score_gpt":0.2163534979757721,"score_spread":0.1913841660179811,"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."}}