{"id":"W2006200348","doi":"10.1109/icon.2013.6781974","title":"Scheduling soft aperiodic messages on FlexRay in-vehicle networks","year":2013,"lang":"en","type":"article","venue":"","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of New Brunswick","funders":"","keywords":"Aperiodic graph; FlexRay; Computer science; Scheduling (production processes); Distributed computing; Computer network; Real-time computing; Embedded system; Engineering; Automotive industry; Mathematics","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":[0.0005576672,0.0005332614,0.000515555,0.0004835291,0.0005563304,0.0006311538,0.0008621681,0.0003487602,0.00143956],"category_scores_gemma":[0.0009394542,0.0001904863,0.0001872355,0.0005206026,0.0003639896,0.0006526791,0.0006612395,0.000479592,0.0003092489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006636176,"about_ca_system_score_gemma":0.0008824752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001822394,"about_ca_topic_score_gemma":0.0023808,"domain_scores_codex":[0.9996233,0.000108538,0.00002924926,0.00005858943,0.0001189028,0.00006140237],"domain_scores_gemma":[0.999529,0.0001777126,0.00007982082,0.00007374394,0.00007985218,0.00005983299],"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":[0.0007981015,0.0001310088,0.001117365,0.000139986,0.00003823084,0.0002245554,0.0002867359,0.7122186,0.05169056,0.0209261,0.002603653,0.2098251],"study_design_scores_gemma":[0.00002141078,0.0001012256,0.0002595067,0.000005898817,0.000009201892,0.00004518066,0.00005361305,0.9799387,0.01236964,0.004071848,0.003113089,0.00001057773],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1104738,0.0003738558,0.8832833,0.0001325968,0.00008242328,0.0001180837,0.00005151899,0.0009591272,0.004525274],"genre_scores_gemma":[0.7855896,0.0003003058,0.2101748,0.00006600737,0.00005216248,0.0001000623,0.0001382112,0.00009309713,0.003485702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001822394,"threshold_uncertainty_score":0.004815817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01057936330086535,"score_gpt":0.2240165060145173,"score_spread":0.2134371427136519,"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."}}