{"id":"W2550930467","doi":"","title":"A new model for evaluating performability under the effects of software aging and rejuvenation","year":2007,"lang":"en","type":"article","venue":"International Conference on Software Engineering","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dependability; Computer science; Reliability engineering; Rejuvenation; Component (thermodynamics); Queueing theory; Software; Software fault tolerance; Fault tree analysis; Fault tolerance; Embedded system; Distributed computing; Operating system; Computer network; Engineering; Software 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":[],"consensus_categories":[],"category_scores_codex":[0.0006219742,0.0001160131,0.00012098,0.00007350438,0.0000651446,0.00008969677,0.0004110188,0.00004570385,0.000001950821],"category_scores_gemma":[0.0007210172,0.00009507695,0.00004815268,0.00009726083,0.0000138002,0.0002809403,0.00008052462,0.000116379,6.990933e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007046216,"about_ca_system_score_gemma":0.00007819581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001659399,"about_ca_topic_score_gemma":0.00000524764,"domain_scores_codex":[0.9990096,0.00001028607,0.0002575371,0.0002248178,0.0003318804,0.0001658786],"domain_scores_gemma":[0.9987705,0.0005909999,0.0001058197,0.0002035631,0.0002753731,0.00005378743],"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":[0.00005389594,0.00006163468,0.002604544,0.0004645278,0.0001201376,0.000002895698,0.00337171,0.2402025,0.004336852,0.4863353,0.0001969442,0.2622491],"study_design_scores_gemma":[0.0003578446,0.0000550833,0.004685194,0.0002292774,0.000004410861,0.000004052079,0.00002912745,0.9911892,0.001082441,0.002199203,0.00005700014,0.0001071524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05545069,0.00006055721,0.9434693,0.0001957814,0.0004738361,0.0002215183,0.000007534989,0.00009400384,0.00002679423],"genre_scores_gemma":[0.8568904,0.000003803554,0.1428977,0.00005650923,0.00004532559,0.00001819539,0.000005303185,0.000006849838,0.00007597046],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8014396,"threshold_uncertainty_score":0.3877126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134441998700631,"score_gpt":0.3043595927061875,"score_spread":0.2730151727191811,"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."}}