{"id":"W3001483342","doi":"10.4271/2020-01-1335","title":"Automated Generation of AUTOSAR ECU Configurations Using Xtend: Watchdog Driver Example","year":2020,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"AUTOSAR; Computer science; Embedded system; Automotive engineering; Operating system; Engineering; Software","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":[0.0002597274,0.0005958155,0.0002875493,0.0003879337,0.0001819482,0.0003072851,0.0007745646,0.0004786701,0.008533144],"category_scores_gemma":[0.0006237964,0.0003065004,0.0003177244,0.0002318944,0.0001921623,0.0003671428,0.0003669548,0.0002642646,0.001660555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002248833,"about_ca_system_score_gemma":0.0002339952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001555659,"about_ca_topic_score_gemma":0.001587933,"domain_scores_codex":[0.9998447,0.00002652095,0.0000114714,0.0000452581,0.0000499415,0.00002220153],"domain_scores_gemma":[0.999688,0.0001314537,0.00002340277,0.00007840782,0.00005715737,0.00002154879],"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":[0.001108091,0.0005353573,0.006874019,0.000820103,0.0000716628,0.003922445,0.001122818,0.1872331,0.1728407,0.01308932,0.02977323,0.5826091],"study_design_scores_gemma":[0.0003281887,0.0005035948,0.005084529,0.00005033228,0.00004907251,0.001162617,0.0001558705,0.7041672,0.2275898,0.003195083,0.05761962,0.00009394695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2892246,0.0001782479,0.6070275,0.0001680099,0.0001013495,0.0004557927,0.001941337,0.08037622,0.02052693],"genre_scores_gemma":[0.6958631,0.0001083926,0.2814308,0.00005017703,0.00001180422,0.0002284909,0.002528326,0.003021704,0.01675712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008533144,"threshold_uncertainty_score":0.02854621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03142130485962844,"score_gpt":0.2509908516543248,"score_spread":0.2195695467946963,"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."}}