{"id":"W2131889926","doi":"10.1109/ccece.2003.1226346","title":"Bridge dwell-time &amp; packet destination based scheduling algorithm for Bluetooth scatternet","year":2004,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Scatternet; Bluetooth; Computer science; Computer network; Scheduling (production processes); Network packet; Queueing theory; Distributed computing; Algorithm; Round-robin scheduling; Fair-share scheduling; Wireless; Mathematical optimization; Quality of service; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007365092,0.000307233,0.0004508991,0.0005778563,0.0006511696,0.0005552613,0.0009749454,0.0003092239,0.00109168],"category_scores_gemma":[0.001396366,0.0001726476,0.0001679489,0.0005174507,0.0003510847,0.000694931,0.000461087,0.0004318869,0.0002358303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009290113,"about_ca_system_score_gemma":0.001193603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002119337,"about_ca_topic_score_gemma":0.002950211,"domain_scores_codex":[0.9996508,0.00007529384,0.00002736951,0.00004619083,0.0001536043,0.00004664364],"domain_scores_gemma":[0.9993659,0.000206116,0.00008111492,0.00007894633,0.000211437,0.0000564801],"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":[0.0008374322,0.0003223804,0.005073933,0.0001908809,0.0000928995,0.0001619499,0.0004178027,0.4555662,0.071629,0.03897249,0.006199801,0.4205353],"study_design_scores_gemma":[0.00006506909,0.0001525884,0.0005690973,0.000006546405,0.00001823327,0.00008744295,0.0000314743,0.9834187,0.01002233,0.002649743,0.002964814,0.00001401651],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06058237,0.0002501939,0.9363583,0.0001327434,0.00009485781,0.00007719007,0.00003385751,0.0006430796,0.00182749],"genre_scores_gemma":[0.7280865,0.000235747,0.268596,0.00008449124,0.00006585923,0.0001268848,0.000133167,0.00006659025,0.002604794],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002119337,"threshold_uncertainty_score":0.00674051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056166322643982,"score_gpt":0.2692789235607674,"score_spread":0.2387172603343276,"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."}}