{"id":"W2138270590","doi":"10.1109/hase.2007.39","title":"Improving Reliability and Safety by Trading off Software Failure Criticalities","year":2007,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Fault tolerance; Reliability engineering; Computer science; Failure rate; Reliability (semiconductor); Voting; Software quality; Software fault tolerance; Constraint (computer-aided design); Fault (geology); Class (philosophy); Process (computing); Software; Life-critical system; Distributed computing; Software development; Engineering; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002827992,0.0007557904,0.0009215324,0.0005409092,0.000653968,0.001116987,0.001245344,0.0006352288,0.002020097],"category_scores_gemma":[0.007348991,0.0003737707,0.0006985002,0.0004808547,0.001105114,0.001925779,0.00163626,0.001062871,0.0002329854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000712982,"about_ca_system_score_gemma":0.0007231051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002113023,"about_ca_topic_score_gemma":0.0005891372,"domain_scores_codex":[0.9978927,0.0009162893,0.0001381934,0.0003391475,0.0004968935,0.0002167786],"domain_scores_gemma":[0.9948331,0.002641458,0.0007775973,0.00111293,0.0004275605,0.0002072935],"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":[0.00130511,0.0003385342,0.01253309,0.0004357159,0.0001844843,0.0003463346,0.0004085288,0.4373247,0.1331375,0.1642184,0.0008676532,0.2489],"study_design_scores_gemma":[0.0001677233,0.001203808,0.002023642,0.00005340726,0.0001246915,0.0005950274,0.0001372899,0.8554071,0.06720939,0.06847014,0.004535737,0.00007213711],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2146487,0.0002181052,0.7806008,0.0001574936,0.00002633222,0.0001107362,0.00002127802,0.0002401983,0.00397619],"genre_scores_gemma":[0.8739251,0.00009837251,0.1243545,0.00005096135,0.00002857395,0.00008451715,0.00002062177,0.00004700519,0.001390277],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002827992,"threshold_uncertainty_score":0.014956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01006764259716144,"score_gpt":0.2612918160596365,"score_spread":0.2512241734624751,"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."}}