{"id":"W1538640960","doi":"10.1109/ccece.2015.7129338","title":"A qualitative comparison of FlexRay and Ethernet in vehicle networks","year":2015,"lang":"en","type":"article","venue":"","topic":"Network Time Synchronization Technologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"FlexRay; Connection-oriented Ethernet; Computer network; Carrier Ethernet; Ethernet over PDH; Ethernet; Computer science; Jitter; Ethernet over SDH; Embedded system; Synchronous Ethernet; Metro Ethernet; Ethernet flow control; Engineering; Automotive industry; Telecommunications","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004460655,0.00006312711,0.0001557761,0.00007426573,0.00001159462,0.00002412158,0.000320317,0.00006283502,0.000005578462],"category_scores_gemma":[0.00007158249,0.00005471235,0.000009013961,0.0004900613,0.00009262618,0.0001822896,0.0002239677,0.00008985146,0.00000565826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002540249,"about_ca_system_score_gemma":0.00002817747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007241516,"about_ca_topic_score_gemma":0.00007325242,"domain_scores_codex":[0.9992703,0.0001113657,0.0002050127,0.0001628866,0.0001210576,0.0001293765],"domain_scores_gemma":[0.9994591,0.0001433086,0.00007600806,0.0002219483,0.00006367648,0.00003596455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002186741,0.0002238495,0.05566739,0.00001943663,0.00002656087,0.000004134871,0.06990017,0.0585437,0.0001163871,0.6001941,0.01353339,0.201749],"study_design_scores_gemma":[0.0003894814,0.0001240586,0.001100062,0.00001371741,8.891649e-7,7.091433e-7,0.003654372,0.9771403,0.001113634,0.01601719,0.0003492803,0.00009629081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07109137,0.0009432121,0.9232689,0.0006228816,0.00005677235,0.0001094589,2.226589e-7,0.0002012513,0.003705893],"genre_scores_gemma":[0.9546016,0.000006315382,0.04520223,0.00004129185,0.000006546865,0.000004052983,4.842473e-7,0.000003214863,0.0001342831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9185966,"threshold_uncertainty_score":0.2231105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07108969840066383,"score_gpt":0.3728779297587655,"score_spread":0.3017882313581017,"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."}}