{"id":"W2015747341","doi":"10.4271/2014-01-0190","title":"Timing Analysis and Tracing Concepts for ECU Development","year":2014,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Infineon Technologies (Canada)","funders":"","keywords":"Computer science; Tracing; Development (topology); Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002084454,0.0007437953,0.001294852,0.000468233,0.0007089851,0.0004573574,0.001714966,0.0006183962,0.00004934263],"category_scores_gemma":[0.001026198,0.000653496,0.0005109641,0.001487565,0.0005033086,0.000973694,0.0007254266,0.0006779176,0.00004839908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002654997,"about_ca_system_score_gemma":0.0001354333,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003673214,"about_ca_topic_score_gemma":0.01956068,"domain_scores_codex":[0.9945216,0.0002418812,0.001386404,0.001813012,0.000929258,0.001107814],"domain_scores_gemma":[0.9959457,0.001303013,0.0003986774,0.001667285,0.0001754059,0.000509924],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00006168606,0.0001317173,0.0003900391,0.00009704435,0.000214556,0.00001275374,0.0002050874,0.0001284931,0.930631,0.0288076,0.0002792709,0.03904068],"study_design_scores_gemma":[0.0008144965,0.0006663181,0.972977,0.0002542422,0.0002194882,0.00007280714,0.00009415032,0.00002502807,0.0009815352,0.001815934,0.0210597,0.001019238],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007481,0.000893145,0.02364957,0.008226851,0.0008877775,0.004453889,0.00003174768,0.008739081,0.05236989],"genre_scores_gemma":[0.8244056,0.00002764515,0.1739903,0.000829549,0.0001128133,0.0003414125,0.000016767,0.00006086105,0.0002150386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.972587,"threshold_uncertainty_score":0.9995916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777787609172597,"score_gpt":0.273469384337371,"score_spread":0.255691508245645,"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."}}