{"id":"W2115293262","doi":"10.1109/dsd.2011.9","title":"On Failure Rate Assessment Using an Executable Model of the System","year":2011,"lang":"en","type":"article","venue":"","topic":"VLSI and Analog Circuit Testing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Executable; Failure rate; Computer science; Key (lock); Reliability engineering; Reliability (semiconductor); Transient (computer programming); Systems engineering; Embedded system; Risk analysis (engineering); Engineering; Computer security; 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":[0.001267409,0.001000325,0.0006693313,0.001107244,0.0002717203,0.001002977,0.0009143096,0.0009916433,0.002347591],"category_scores_gemma":[0.006007607,0.0002950803,0.0008079835,0.0004527367,0.000499297,0.001258255,0.0004679178,0.0006905948,0.0005401027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007004885,"about_ca_system_score_gemma":0.0006885119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006465979,"about_ca_topic_score_gemma":0.00308559,"domain_scores_codex":[0.9993609,0.00022982,0.00002491445,0.00008828549,0.0002433311,0.00005270461],"domain_scores_gemma":[0.9976317,0.001661011,0.0001917115,0.0001812517,0.0003038395,0.00003052512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002858074,0.00001442254,0.0005813072,0.0000217816,0.00001112811,0.00003889892,0.00002931088,0.9860561,0.001091998,0.004772527,0.0001084053,0.007245411],"study_design_scores_gemma":[8.933413e-7,0.000008637666,0.00007803024,0.000001930261,0.000002518993,0.000009196897,0.000001894462,0.9990163,0.0001463869,0.000653667,0.00007872388,0.000001777526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05235979,0.0001699039,0.943216,0.0001088044,0.0000186576,0.0000732114,0.000154613,0.0004747867,0.003424275],"genre_scores_gemma":[0.9027162,0.0005261297,0.09008496,0.00004537799,0.00004934847,0.0002574529,0.0003984132,0.000136182,0.005785912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006465979,"threshold_uncertainty_score":0.01285666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09049000033789781,"score_gpt":0.2605786507485525,"score_spread":0.1700886504106547,"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."}}