{"id":"W2909948725","doi":"10.1109/iemcon.2018.8615024","title":"Time scheduling of central BLE for connection events","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Computer science; Scheduling (production processes); Distributed computing; Computer network; Schedule; Operating system; Engineering","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":[0.0009192143,0.0004601284,0.0005007531,0.0005273939,0.0006751614,0.0009071779,0.0007667705,0.0004014971,0.003918589],"category_scores_gemma":[0.003958471,0.0001753168,0.0001517415,0.0003026374,0.0003569269,0.001131188,0.0005069045,0.000502902,0.0005825274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006331215,"about_ca_system_score_gemma":0.0006929553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009230144,"about_ca_topic_score_gemma":0.001205784,"domain_scores_codex":[0.999382,0.000177176,0.00004452265,0.0001545043,0.0001184297,0.0001233048],"domain_scores_gemma":[0.9976019,0.0009375682,0.0003088262,0.0004637589,0.0004263993,0.0002615251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004740928,0.0004696774,0.01733143,0.00036517,0.0001342261,0.0009171626,0.001310266,0.2695401,0.3606764,0.04127192,0.004487392,0.2987555],"study_design_scores_gemma":[0.0001330576,0.0008783042,0.005625683,0.00002870802,0.00006800384,0.0004553515,0.0003631579,0.8583149,0.1143195,0.008478205,0.01127212,0.00006307329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5006602,0.000556424,0.4861955,0.0002114944,0.0001640949,0.0001729213,0.00006746062,0.001843174,0.01012872],"genre_scores_gemma":[0.9798244,0.00004670529,0.01880582,0.00003087132,0.00001717605,0.00002528868,0.00002713235,0.00004949905,0.001173173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003918589,"threshold_uncertainty_score":0.01310897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156849753182316,"score_gpt":0.2395036803609374,"score_spread":0.2279351828291143,"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."}}