{"id":"W1976430831","doi":"10.1145/2737182.2737189","title":"Modeling Fault Tolerance Tactics with Reusable Aspects","year":2015,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Albaha University","keywords":"Dependability; Computer science; Unified Modeling Language; Model transformation; Software engineering; Software fault tolerance; Applications of UML; Fault tolerance; UML tool; Context (archaeology); Process (computing); Software; Programming language; Reliability engineering; Distributed computing; Consistency (knowledge bases); Engineering; Artificial intelligence","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":[0.0004431883,0.00008734807,0.0001380225,0.00006476836,0.00007386243,0.0002212364,0.0006766252,0.00003825919,0.00001362194],"category_scores_gemma":[0.0001861876,0.00006134369,0.00003360418,0.0006403055,0.00002795949,0.0005822883,0.0001724588,0.0001495854,0.000131854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006069028,"about_ca_system_score_gemma":0.0002247216,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002912758,"about_ca_topic_score_gemma":0.00005663819,"domain_scores_codex":[0.9986221,0.00004615351,0.0001320454,0.0003315349,0.0005892453,0.0002789841],"domain_scores_gemma":[0.9986916,0.00005065856,0.0000191357,0.0006692436,0.0003694274,0.0001998917],"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":[0.00001935558,0.0001402413,0.001131356,0.00001700982,0.00003350832,0.00004227235,0.0004789375,0.9545146,0.00009655694,0.0350626,0.00111943,0.007344145],"study_design_scores_gemma":[0.0001985861,0.00007606216,0.000007693602,0.000008992083,0.000002708329,0.000009952228,0.00006016189,0.9905764,0.0008981345,0.006981765,0.001073777,0.0001057728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04473334,0.00008389556,0.9370329,0.001231086,0.00004124932,0.00006351804,1.836962e-7,0.000199052,0.01661474],"genre_scores_gemma":[0.8878568,0.00001127075,0.110875,0.000176394,0.00003623956,0.000005394056,5.445886e-7,0.000004885897,0.001033484],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8431234,"threshold_uncertainty_score":0.2501523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04866170108831949,"score_gpt":0.290114288761452,"score_spread":0.2414525876731325,"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."}}