{"id":"W2148583599","doi":"10.1145/2498328.2500073","title":"A taxonomy of protocol frameworks and gap analysis for adaptive publish/subscribe distributed realtime embedded systems","year":2013,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Standardization; Protocol (science); Publication; Taxonomy (biology); Adaptive system; Distributed computing; Context (archaeology); Quality of service; Adaptive management; Profiling (computer programming); Computer network; Artificial intelligence; 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":[0.001017262,0.0002680951,0.0007408858,0.000355916,0.0001104232,0.0009375,0.0008443655,0.0003173052,0.00004327465],"category_scores_gemma":[0.0002413347,0.000214342,0.0002058595,0.001509422,0.0000734215,0.001826554,0.0002667207,0.0002350902,0.00001607055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007228923,"about_ca_system_score_gemma":0.0001225056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928674,"about_ca_topic_score_gemma":0.00002578301,"domain_scores_codex":[0.9973248,0.0002268953,0.0008864139,0.0007113562,0.0003716174,0.000478943],"domain_scores_gemma":[0.9967605,0.0004705606,0.0006186433,0.001017619,0.0008742093,0.0002584664],"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":[0.0004713669,0.001863018,0.05240741,0.0044132,0.0135718,0.00003038013,0.005913806,0.04808159,0.004948425,0.7146828,0.1029113,0.05070489],"study_design_scores_gemma":[0.0007042247,0.0001804532,0.001779696,0.00009056924,0.00008324842,0.000007144111,0.0005054339,0.9940596,0.0003690085,0.0009134533,0.001002708,0.0003044613],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006864567,0.00001520065,0.9137614,0.0001971174,0.00007898019,0.08294003,0.0000225437,0.000163338,0.002134951],"genre_scores_gemma":[0.5385934,2.714823e-7,0.2196762,0.00003327538,0.00006565249,0.2412871,0.00002016959,0.0000152502,0.000308732],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.945978,"threshold_uncertainty_score":0.9040334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04383517131758333,"score_gpt":0.2714354313663533,"score_spread":0.22760026004877,"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."}}