{"id":"W4413927075","doi":"10.64552/wipiec.v11i1.96","title":"An Approach for Automotive ECU Diagnosis via Ethernet Snooping &amp; Microcontroller Tracing","year":2025,"lang":"en","type":"article","venue":"WiPiEC Journal - Works in Progress in Embedded Computing Journal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"Bundesministerium für Bildung und Forschung","keywords":"Microcontroller; Tracing; Ethernet; Automotive industry; Automotive engineering; Embedded system; Computer science; Engineering; Operating system","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":[0.0002597824,0.0006079467,0.0003430625,0.001607298,0.0003080516,0.0006975872,0.0009555707,0.0005899935,0.001511766],"category_scores_gemma":[0.001113364,0.0001936342,0.0002214022,0.0004318791,0.0002924206,0.0005575396,0.0006775712,0.0004764932,0.0005502352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330326,"about_ca_system_score_gemma":0.0006029607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00192403,"about_ca_topic_score_gemma":0.002595707,"domain_scores_codex":[0.9995822,0.00005373131,0.00002267342,0.0001048662,0.0001986521,0.00003784972],"domain_scores_gemma":[0.9995759,0.0001016839,0.00004761199,0.00008670553,0.0001596142,0.00002835861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003063976,0.0002315658,0.01091062,0.0002066475,0.00006367647,0.001155483,0.0004823701,0.03036262,0.2096281,0.007973926,0.002416771,0.7362618],"study_design_scores_gemma":[0.00003111851,0.0003822767,0.006333763,0.00005615003,0.00006297339,0.001736288,0.0003212759,0.8191143,0.1515982,0.00557742,0.01473325,0.00005292459],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03377353,0.0002358207,0.9590741,0.0001224982,0.00004680974,0.0001045072,0.00007018943,0.004159203,0.002413303],"genre_scores_gemma":[0.545559,0.0002371615,0.4495822,0.00009888561,0.00002538116,0.00007658476,0.0001391243,0.0001088304,0.00417277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00192403,"threshold_uncertainty_score":0.005057335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01741502617321881,"score_gpt":0.3520317877163592,"score_spread":0.3346167615431404,"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."}}