{"id":"W2950552779","doi":"10.1109/jiot.2019.2930367","title":"Multipoint Synchronization for Fog-Controlled Internet of Things","year":2019,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Petroleum Technology Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Asynchronous communication; Distributed computing; Computer network; Scheduling (production processes); Synchronizer; The Internet; Schedule; Cloud computing; Real-time computing; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001151897,0.0002509002,0.0006787038,0.0004294142,0.00003979692,0.0001992767,0.002157666,0.0001891855,0.0001348132],"category_scores_gemma":[0.0004424853,0.0002115842,0.0003368953,0.0003101107,0.0001054013,0.0017373,0.0003119164,0.0004006632,0.00003638546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752335,"about_ca_system_score_gemma":0.0001211111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004579064,"about_ca_topic_score_gemma":0.000001107653,"domain_scores_codex":[0.9975389,0.00008743231,0.001148136,0.0003620169,0.0005028329,0.0003607124],"domain_scores_gemma":[0.9967185,0.0003332354,0.001621896,0.0005020773,0.00074903,0.0000752967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003211805,0.001715577,0.01377427,0.00174538,0.003563371,0.00006401807,0.04711134,0.02407948,0.107571,0.1445737,0.08149935,0.5710908],"study_design_scores_gemma":[0.00453754,0.0007361241,0.00004636169,0.0005465064,0.00003422741,0.0001235745,0.00007917094,0.8763831,0.1080616,0.008492446,0.0007074194,0.0002519472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05511742,0.0002972435,0.9407287,0.000503999,0.001920501,0.0006425616,8.870943e-7,0.0001614927,0.0006271742],"genre_scores_gemma":[0.8813392,0.00002929741,0.1165678,0.0002096973,0.00008487951,0.00001412151,0.000001727725,0.00002680958,0.001726531],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8523036,"threshold_uncertainty_score":0.8628153,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008697392244755592,"score_gpt":0.2314599341634403,"score_spread":0.2227625419186847,"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."}}