{"id":"W4380482358","doi":"10.1007/s10617-023-09276-6","title":"Hardware-accelerated service-oriented communication for AUTOSAR platforms","year":2023,"lang":"en","type":"article","venue":"Design Automation for Embedded Systems","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"AUTOSAR; Computer science; Embedded system; Software; Scalability; Automotive industry; Ethernet; Hardware architecture; Operating system; Engineering","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":[0.0004830442,0.0004604132,0.000233149,0.0004111526,0.0003654817,0.000580768,0.0005554918,0.0002313445,0.003993932],"category_scores_gemma":[0.0007440162,0.0001645011,0.0002422666,0.0003103701,0.0002629398,0.0004814913,0.000381321,0.0006824648,0.0009512337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003607415,"about_ca_system_score_gemma":0.001192412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001690471,"about_ca_topic_score_gemma":0.002970794,"domain_scores_codex":[0.9995597,0.00008188286,0.00002206097,0.00006197262,0.000143967,0.0001304985],"domain_scores_gemma":[0.9993904,0.0000898236,0.00006486395,0.0001936393,0.0002063565,0.0000550469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002479078,0.0005409119,0.005855431,0.0003719378,0.00008445822,0.000637938,0.000652732,0.1954514,0.2652162,0.05775761,0.01825257,0.4526997],"study_design_scores_gemma":[0.0001539892,0.0009316398,0.002277694,0.0000343458,0.00005308908,0.0003489467,0.0001438107,0.8060746,0.1536244,0.01014958,0.02616719,0.00004069589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3039838,0.0004824339,0.6573098,0.0003228804,0.0002357823,0.0001077863,0.0001820647,0.01696533,0.02041004],"genre_scores_gemma":[0.9366004,0.00008513036,0.05909815,0.00006736441,0.00003350972,0.00003379116,0.0001603654,0.0002318442,0.003689365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003993932,"threshold_uncertainty_score":0.01336104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08981248112808683,"score_gpt":0.3122128099985543,"score_spread":0.2224003288704675,"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."}}