{"id":"W1963583097","doi":"10.1016/j.sysarc.2013.08.009","title":"Optimizing the implementation of real-time Simulink models onto distributed automotive architectures","year":2013,"lang":"en","type":"article","venue":"Journal of Systems Architecture","topic":"Embedded Systems Design Techniques","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"FlexRay; Computer science; Scheduling (production processes); Schedule; Implementation; Distributed computing; Automotive industry; Embedded system; Models of communication; Operating system; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001362488,0.0002987724,0.0006610057,0.0003457525,0.0001431624,0.0002610535,0.001710468,0.0001325878,0.00001449137],"category_scores_gemma":[0.0000688207,0.0001784066,0.000288668,0.000462009,0.00008711679,0.0004573825,0.0002110753,0.0005218193,0.000005570427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001581732,"about_ca_system_score_gemma":0.0001971663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001012189,"about_ca_topic_score_gemma":0.00001713611,"domain_scores_codex":[0.9963067,0.0007612813,0.001378319,0.00027317,0.0008889126,0.0003916366],"domain_scores_gemma":[0.9958116,0.0005281793,0.001847958,0.0007208486,0.0009335307,0.0001579288],"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":[0.00005346951,0.0001344772,0.000285681,0.0004108844,0.0006888708,0.00005606912,0.04482817,0.7989187,0.1196998,0.00742813,0.008094003,0.01940176],"study_design_scores_gemma":[0.00405199,0.003925701,0.006849261,0.003466321,0.0002997193,0.00439373,0.009370642,0.7956232,0.0754528,0.09301147,0.001573317,0.001981832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1011951,0.0004895655,0.8953812,0.000997783,0.0003060934,0.001084787,0.00002507934,0.0001341466,0.0003861809],"genre_scores_gemma":[0.9520342,0.00001634834,0.04753195,0.00005301516,0.0002570672,0.00003611851,0.000002574662,0.00002555373,0.00004318892],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.850839,"threshold_uncertainty_score":0.7275208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01296613529070564,"score_gpt":0.2666403278785654,"score_spread":0.2536741925878598,"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."}}