{"id":"W2740888784","doi":"","title":"Hierarchical Timed Symbolic Abstract State Machines for precise WCET estimation","year":2013,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Real-Time Systems Scheduling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; State (computer science); Estimation; Programming language; Theoretical computer science; Distributed computing; Engineering; Systems 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.006872285,0.0005488917,0.000669974,0.0003661637,0.0004211497,0.001963556,0.003528015,0.0003765631,0.00006944855],"category_scores_gemma":[0.002213758,0.0005543352,0.0003472227,0.000399039,0.000172393,0.000716632,0.002158255,0.0008434037,0.0002114536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001789832,"about_ca_system_score_gemma":0.0005012465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001474703,"about_ca_topic_score_gemma":0.0002413155,"domain_scores_codex":[0.9932448,0.002929465,0.001079058,0.001382755,0.0007169145,0.0006470004],"domain_scores_gemma":[0.9897963,0.002867233,0.001005854,0.003689001,0.002278972,0.0003625832],"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":[0.00003306668,0.001102315,0.0005122235,0.001514984,0.0003216498,0.00001095201,0.02225616,0.008908201,0.008686085,0.1833412,0.004761537,0.7685516],"study_design_scores_gemma":[0.0005651893,7.734056e-7,0.003592068,0.001585462,0.00002739673,0.00001686181,0.00001021754,0.9225832,0.01507555,0.05441752,0.001500755,0.0006250389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07823656,0.0004262682,0.8988677,0.006842674,0.0005625054,0.001840954,0.00007206602,0.0006557619,0.01249551],"genre_scores_gemma":[0.4702895,0.00008389392,0.5231608,0.00005506516,0.00005189872,0.0005471036,0.0004539619,0.00006988283,0.005287896],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.913675,"threshold_uncertainty_score":0.9996908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0157507061992609,"score_gpt":0.2505193146701455,"score_spread":0.2347686084708846,"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."}}