{"id":"W2896338163","doi":"10.1109/iolts.2018.8474201","title":"Fault-Resilient Topology Planning and Traffic Configuration for IEEE 802.1Qbv TSN Networks","year":2018,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Network topology; Scalability; Redundancy (engineering); Distributed computing; Computer network; Greedy algorithm; Topology (electrical circuits); Algorithm; Mathematics","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":[0.0001719767,0.0001260436,0.0001424417,0.00009356104,0.0002306355,0.0001206699,0.0004134081,0.0001473509,0.00003574302],"category_scores_gemma":[0.00004465463,0.0001119834,0.00002407593,0.0002498782,0.0002122583,0.0002503861,0.00009353027,0.00007886429,0.00001960128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002808009,"about_ca_system_score_gemma":0.00002900505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003532769,"about_ca_topic_score_gemma":0.00001508939,"domain_scores_codex":[0.9989808,0.00002887604,0.0002103728,0.0003798998,0.00009107064,0.000308962],"domain_scores_gemma":[0.9992647,0.0001489462,0.00008563744,0.000333199,0.0001217502,0.00004583583],"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":[0.00003506382,0.00006152687,0.0004820115,0.00002273833,0.00005133262,0.000006066331,0.001027819,0.09648243,0.0006453698,0.26417,0.09267543,0.5443402],"study_design_scores_gemma":[0.0003512826,0.0003343266,0.0002443063,0.00001171996,0.000004543602,0.00001301912,0.00007813502,0.9858581,0.004660682,0.002048198,0.006227421,0.0001682361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01925039,0.0002501762,0.976391,0.001196442,0.0006353438,0.0003120312,5.586143e-7,0.0006836035,0.001280484],"genre_scores_gemma":[0.955269,0.00001215417,0.04334248,0.0003986672,0.0001987789,0.00003518428,0.000004314463,0.000008916303,0.0007304398],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9360187,"threshold_uncertainty_score":0.4566549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591953217235157,"score_gpt":0.2694641873209356,"score_spread":0.253544655148584,"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."}}