{"id":"W4388709126","doi":"10.1007/978-3-031-41969-0","title":"Scheduling and Reconfiguration of Real-Time Systems","year":2023,"lang":"en","type":"book","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Shaanxi University of Science and Technology; Fundamental Research Funds for the Central Universities; University of Toronto; Guizhou University; National Natural Science Foundation of China; Friedrich-Alexander-Universität Erlangen-Nürnberg; Alexander von Humboldt-Stiftung","keywords":"Control reconfiguration; Computer science; Scheduling (production processes); Distributed computing; Real-time Control System; Real-time computing; Fixed-priority pre-emptive scheduling; Dynamic priority scheduling; Rate-monotonic scheduling; Embedded system; Control (management); Engineering; Schedule; Operating system; Operations management; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001130043,0.000342279,0.0007834671,0.0004088424,0.00007939411,0.0003581542,0.0007452767,0.0004430495,0.00001997311],"category_scores_gemma":[0.00008007953,0.0003231548,0.0001113919,0.000231282,0.00005402053,0.0005366878,0.0002697166,0.0002353426,0.0006503157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001321429,"about_ca_system_score_gemma":0.0004878179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002627845,"about_ca_topic_score_gemma":0.000007181639,"domain_scores_codex":[0.9973365,0.0001230904,0.0009491901,0.0007559823,0.0005328165,0.0003024289],"domain_scores_gemma":[0.9975094,0.0004165688,0.0007230417,0.000981485,0.0002620229,0.0001075042],"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":[0.00001960449,0.0000501126,0.00004128366,0.006416244,0.0007574824,0.0001480174,0.001891411,0.005686861,0.02851873,0.8696473,0.06647496,0.02034803],"study_design_scores_gemma":[0.0008627392,0.0003497724,0.000111282,0.007105096,0.0001232455,0.0002822173,0.0001843084,0.9662762,0.001410642,0.01059577,0.01066401,0.00203467],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002652175,0.0004963861,0.07428934,0.0001018937,0.001427058,0.0008653331,0.00001051579,0.0008973018,0.921647],"genre_scores_gemma":[0.0008105155,0.0002690112,0.02010712,0.000009827796,0.0003516694,0.00002835873,0.00003963594,0.0000730567,0.9783108],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9605894,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02057527616235585,"score_gpt":0.2393801427521967,"score_spread":0.2188048665898408,"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."}}