{"id":"W2080294240","doi":"10.1007/s11276-008-0142-1","title":"Analysis of the Bluetooth device discovery protocol","year":2008,"lang":"en","type":"article","venue":"Wireless Networks","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Bluetooth; Exponential backoff; Limit (mathematics); Neighbor Discovery Protocol; Network packet; Protocol (science); Computer network; Train; Throughput; Wireless; Telecommunications; Internet Protocol; Operating system","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":[0.001870611,0.0007523284,0.0006357645,0.002540094,0.001074045,0.002099436,0.001465087,0.0007075024,0.004913263],"category_scores_gemma":[0.0108152,0.0005353887,0.0008856104,0.00185639,0.0007204878,0.002672995,0.0009002909,0.001531139,0.001066467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001720402,"about_ca_system_score_gemma":0.002258223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003092191,"about_ca_topic_score_gemma":0.002646454,"domain_scores_codex":[0.9964785,0.0005150683,0.000124525,0.0002422605,0.002202436,0.0004372216],"domain_scores_gemma":[0.9929581,0.004236628,0.0003879922,0.0008916521,0.001446169,0.00007950886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00101007,0.0005273521,0.01353405,0.0008332579,0.0002403853,0.001101971,0.0005763053,0.1861644,0.04093547,0.4361282,0.01465969,0.3042888],"study_design_scores_gemma":[0.00005506919,0.0003485338,0.00596645,0.0001065137,0.0002855488,0.001735229,0.0002484058,0.8691341,0.02504041,0.06542667,0.03157726,0.00007594643],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2079113,0.006358265,0.6979461,0.002044329,0.0006027341,0.0008119097,0.00107645,0.002016378,0.08123264],"genre_scores_gemma":[0.9121576,0.002971713,0.0637133,0.0002327515,0.0002543961,0.0003856175,0.001244354,0.0003151156,0.01872505],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004913263,"threshold_uncertainty_score":0.01643652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02168873109121416,"score_gpt":0.2528424534039493,"score_spread":0.2311537223127351,"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."}}