{"id":"W2351542693","doi":"","title":"The Scheduling System In Distributed Realtime Embedded Middleware","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Distributed computing; Scheduling (production processes); Fair-share scheduling; Earliest deadline first scheduling; Dynamic priority scheduling; Round-robin scheduling; Two-level scheduling; Common Object Request Broker Architecture; Fixed-priority pre-emptive scheduling; Rate-monotonic scheduling; Operating system; Schedule; Mathematical optimization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579502,0.0003207826,0.0004512227,0.0004440867,0.0007984811,0.001742361,0.00109873,0.0006220968,0.003492371],"category_scores_gemma":[0.001861352,0.0004337249,0.0004306891,0.0006038558,0.0006304099,0.001289668,0.0008954723,0.001215628,0.001969662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001053872,"about_ca_system_score_gemma":0.00144836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001636924,"about_ca_topic_score_gemma":0.0008899728,"domain_scores_codex":[0.9990857,0.0002801743,0.0001045233,0.0001717657,0.0002696283,0.00008822879],"domain_scores_gemma":[0.9995899,0.00008131668,0.00003379142,0.0001467396,0.0001003711,0.00004792874],"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":[0.0004468544,0.0001663574,0.001811838,0.0006622758,0.00009430456,0.0006927282,0.001291831,0.03960406,0.0680445,0.5057808,0.02981613,0.3515883],"study_design_scores_gemma":[0.0002653759,0.0003682389,0.001307926,0.0001952565,0.0001250236,0.0008618036,0.0002167323,0.235115,0.08012082,0.09222033,0.5891028,0.0001007484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01164599,0.0009614729,0.9596524,0.0003801795,0.0004888563,0.000224996,0.0001357898,0.01293707,0.01357323],"genre_scores_gemma":[0.2693177,0.00114867,0.6874296,0.0005146348,0.0003116021,0.0005008738,0.0006530355,0.001602464,0.03852138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003492371,"threshold_uncertainty_score":0.01168317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396510761879421,"score_gpt":0.2294716747862808,"score_spread":0.2155065671674866,"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."}}