{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009880836,0.00004750257,0.00007075087,0.00005175785,0.00005829314,0.00001311403,0.0003345957,0.00004288716,0.00009779323],"category_scores_gemma":[0.00005770985,0.00004350471,0.00002553591,0.0002459279,0.00005191062,0.0002002063,0.00009849229,0.00002111698,0.00007747927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002290281,"about_ca_system_score_gemma":0.00002906132,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003253499,"about_ca_topic_score_gemma":0.000001650064,"domain_scores_codex":[0.9994849,0.000008319557,0.0001207775,0.0001477548,0.0000757781,0.0001624904],"domain_scores_gemma":[0.9995333,0.00003550469,0.00006161685,0.0002250121,0.0001266816,0.00001790191],"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":[0.00003859096,0.0002754869,0.003783866,0.00008208201,0.0001325114,6.671689e-7,0.0006320116,0.006739433,0.0316676,0.6426393,0.02405219,0.2899563],"study_design_scores_gemma":[0.0002628042,0.0001785956,0.0002286502,0.00001355223,0.000002653198,0.000001587489,0.00001435883,0.8072758,0.1768367,0.01360896,0.001492673,0.00008373123],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02164241,0.0000159127,0.9762114,0.0003138163,0.0002180531,0.0001403784,5.634546e-7,0.0003444899,0.001112918],"genre_scores_gemma":[0.721097,0.00000164814,0.2778867,0.00003624141,0.00006436166,0.000005172091,0.000001319412,0.000003724274,0.0009038442],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8005363,"threshold_uncertainty_score":0.1774071,"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."}}