{"id":"W4312594038","doi":"10.1109/jiot.2022.3230896","title":"Parameter-Sharing-Based Average-Consensus Time Synchronization in IoT Networks","year":2022,"lang":"en","type":"article","venue":"IEEE Internet of Things Journal","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Sichuan Province Science and Technology Support Program; National Natural Science Foundation of China","keywords":"Computer science; Convergence (economics); UTC offset; Node (physics); Synchronization (alternating current); Offset (computer science); Clock synchronization; Consensus; Protocol (science); Computer network; Distributed computing; Algorithm; Multi-agent 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085549,0.0001953097,0.0003030413,0.0005451242,0.0001490263,0.0002165343,0.002204475,0.00009504685,0.0004152776],"category_scores_gemma":[0.0001674669,0.0002061411,0.0001183946,0.0008800282,0.00008681057,0.0002663666,0.0005321584,0.0009441271,0.000020628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004702763,"about_ca_system_score_gemma":0.0001419325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003117933,"about_ca_topic_score_gemma":0.000002048086,"domain_scores_codex":[0.9977924,0.0001963445,0.0007247659,0.0003753273,0.000515621,0.0003955263],"domain_scores_gemma":[0.9983943,0.0002349679,0.0006854204,0.0004758437,0.0001396975,0.00006981004],"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":[0.00003372517,0.0001273235,0.002243606,0.00001142905,0.00003757473,0.0001468319,0.0004544466,0.9685372,0.0002630341,0.0004573628,0.006230405,0.02145704],"study_design_scores_gemma":[0.0005951514,0.00026256,0.0001060284,0.00008833338,0.000005901213,0.0003015891,0.00001373163,0.9927753,0.002459823,0.002729152,0.0004614306,0.0002010044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09854305,0.0002695022,0.898747,0.0009322516,0.0009445417,0.0001623307,8.725194e-7,0.0002237269,0.0001767656],"genre_scores_gemma":[0.9725477,0.000005774512,0.02635984,0.0004845877,0.00006510456,0.00001216693,0.000002574186,0.0000235974,0.0004986122],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8740047,"threshold_uncertainty_score":0.8406191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009641381535318723,"score_gpt":0.2191757255886781,"score_spread":0.2095343440533594,"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."}}