{"id":"W2108329019","doi":"10.1109/rtss.2007.8","title":"GD-Aggregate: A WAN Virtual Topology Building Tool for Hard Real-Time and Embedded Applications","year":2007,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Science Foundation","keywords":"Computer science; Throughput; Scalability; Network topology; Aggregate (composite); Flexibility (engineering); Distributed computing; Computer network; Topology (electrical circuits); 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":[0.001205963,0.0007595533,0.0004226775,0.0009117081,0.0003640083,0.001065849,0.001331394,0.0003936921,0.00510059],"category_scores_gemma":[0.002517381,0.0003662472,0.0003805774,0.0006743451,0.000341014,0.001582274,0.0008356498,0.0008587157,0.001167852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005309701,"about_ca_system_score_gemma":0.0007095929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001203918,"about_ca_topic_score_gemma":0.002062064,"domain_scores_codex":[0.9996448,0.0001015277,0.00003040225,0.00004663072,0.0001471862,0.00002956353],"domain_scores_gemma":[0.9992301,0.0002778451,0.0000870513,0.0001944535,0.0001440003,0.00006652683],"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":[0.0006514403,0.0001506977,0.002202763,0.0004172108,0.0001029723,0.0003014365,0.0002458838,0.4177318,0.036298,0.08117685,0.03623208,0.4244888],"study_design_scores_gemma":[0.00005873754,0.00007186906,0.0002746099,0.00001712075,0.00002810292,0.0001329094,0.00002685848,0.9291596,0.01559981,0.01553679,0.0390668,0.00002677564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005730673,0.0001143265,0.9779686,0.00006789905,0.00003759048,0.00005974542,0.0002558181,0.01319734,0.00256801],"genre_scores_gemma":[0.2551393,0.0005375306,0.7341318,0.0001201697,0.00005396262,0.0002654942,0.001444659,0.002267082,0.006039923],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00510059,"threshold_uncertainty_score":0.01706314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01291917300973894,"score_gpt":0.2782929154532574,"score_spread":0.2653737424435185,"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."}}