{"id":"W3080533155","doi":"10.1109/cjece.2020.2968546","title":"Formulation of BLE Throughput Based on Node and Link Parameters","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Electrical and Computer Engineering","topic":"Bluetooth and Wireless Communication Technologies","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"BCIT School of Energy","keywords":"Computer science; Computer network; Network packet; Throughput; Node (physics); Scheduling (production processes); Event (particle physics); Bluetooth; Wireless; Real-time computing; Engineering; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001487596,0.001016962,0.0006311571,0.0009356336,0.000417169,0.001293839,0.001020004,0.0007907908,0.003374149],"category_scores_gemma":[0.005006449,0.0003333252,0.0004406926,0.0007144623,0.0009402731,0.002490054,0.0008234803,0.001069769,0.0006613765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002020896,"about_ca_system_score_gemma":0.0006881783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0018229,"about_ca_topic_score_gemma":0.00218411,"domain_scores_codex":[0.9991628,0.0002221992,0.00004880934,0.0001523422,0.0003056822,0.0001081823],"domain_scores_gemma":[0.9982515,0.0009174519,0.0002012869,0.0002148954,0.0003806542,0.00003422501],"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":[0.0001099089,0.00003999964,0.0008936413,0.0001272495,0.00002791062,0.0001396815,0.0001583493,0.8533153,0.01913524,0.1039089,0.001462252,0.02068166],"study_design_scores_gemma":[0.000002731862,0.00003314122,0.0002597045,0.00001268976,0.000008002504,0.0000443531,0.00002502347,0.9888192,0.002655681,0.006804108,0.001323189,0.00001213858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02045195,0.0004684585,0.9690664,0.0002597717,0.00008476934,0.00008043285,0.0001708378,0.0003443806,0.009073009],"genre_scores_gemma":[0.8798618,0.001296814,0.1050989,0.0001837336,0.0001357539,0.0003003642,0.0002185749,0.0001866305,0.01271736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003374149,"threshold_uncertainty_score":0.01466268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01411099362481698,"score_gpt":0.1808681677821087,"score_spread":0.1667571741572917,"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."}}