{"id":"W2122969894","doi":"10.1109/rtas.2011.33","title":"A Predictable Execution Model for COTS-Based Embedded Systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":248,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Computer science; Testbed; Executable; Embedded system; Compiler; Worst-case execution time; Cache; Multi-core processor; Execution model; Real-time operating system; Operating system; Execution time; Distributed computing; Computer network","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":[0.0008605853,0.000540336,0.0003335979,0.0003044118,0.0003404676,0.000774837,0.00098067,0.0004762432,0.001293043],"category_scores_gemma":[0.001650419,0.0003693425,0.0003741267,0.0002449149,0.0008055135,0.001093018,0.0006503657,0.001133976,0.0002893531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006706828,"about_ca_system_score_gemma":0.001255717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002766256,"about_ca_topic_score_gemma":0.004276771,"domain_scores_codex":[0.9990175,0.0002709898,0.00008821073,0.0001678015,0.0003278192,0.0001275537],"domain_scores_gemma":[0.9988662,0.0003194546,0.0001524074,0.0003851903,0.0001972362,0.00007961436],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002291952,0.0001769428,0.002892669,0.0002064393,0.00003088177,0.0005738867,0.000381602,0.7115022,0.04243409,0.2067456,0.003408869,0.03141765],"study_design_scores_gemma":[0.00002681037,0.0001269915,0.0002818101,0.00001209746,0.00001013309,0.00007881523,0.00002192832,0.9726502,0.005490886,0.0167451,0.00454462,0.00001065401],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0875075,0.0002833465,0.9016402,0.0004917203,0.00009930779,0.0001963308,0.0001728779,0.001964402,0.007644298],"genre_scores_gemma":[0.746431,0.0002851147,0.2476141,0.0001860521,0.00005323656,0.0003059936,0.0002319899,0.0003033262,0.004589262],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002766256,"threshold_uncertainty_score":0.005500317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08050642459028037,"score_gpt":0.2545788877068428,"score_spread":0.1740724631165625,"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."}}