{"id":"W2153852768","doi":"10.1109/vetecf.2004.1404923","title":"Delay analysis and improvement of the device discovery protocol in bluetooth","year":2005,"lang":"en","type":"article","venue":"","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Bluetooth; Computer science; Paging; Process (computing); Protocol (science); Delay calculation; End-to-end delay; Computer network; Propagation delay; Real-time computing; Wireless; Telecommunications; Network packet","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":[0.003935546,0.001419429,0.0009782256,0.002503948,0.001150166,0.001830819,0.002085488,0.0008773993,0.002320849],"category_scores_gemma":[0.02034592,0.0006222542,0.001141486,0.001596637,0.001870275,0.00424442,0.001868895,0.002379407,0.0004363215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334115,"about_ca_system_score_gemma":0.002627911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002626485,"about_ca_topic_score_gemma":0.001804867,"domain_scores_codex":[0.9964521,0.0007265022,0.0001637344,0.0004479501,0.001718264,0.0004915021],"domain_scores_gemma":[0.9881359,0.008133569,0.0006478322,0.0009167651,0.001956538,0.0002093442],"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":[0.0007627325,0.0002042786,0.002162805,0.0006359302,0.0001130892,0.000467171,0.0008218521,0.4430718,0.02860032,0.4378988,0.004956977,0.08030437],"study_design_scores_gemma":[0.0000420338,0.0002172414,0.0003714424,0.00004533029,0.0001074021,0.0003258935,0.000081866,0.9464509,0.007069193,0.03877909,0.006457133,0.00005246854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04359875,0.004149071,0.9380391,0.001209098,0.0004559037,0.0002400935,0.0001223163,0.0005497779,0.01163591],"genre_scores_gemma":[0.826413,0.004918879,0.1594042,0.0003801742,0.0005667307,0.0004639659,0.0001698275,0.0002541659,0.007429003],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003935546,"threshold_uncertainty_score":0.02424186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072625234338802,"score_gpt":0.2600378876024768,"score_spread":0.2493116352590888,"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."}}