{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001549942,0.0008525805,0.0003743667,0.001214704,0.0003305612,0.001647262,0.001180403,0.0008110953,0.0009904673],"category_scores_gemma":[0.003502754,0.0006645341,0.001259996,0.0007045809,0.001122624,0.001897988,0.001141406,0.001030545,0.0002529267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008149383,"about_ca_system_score_gemma":0.001021962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002302484,"about_ca_topic_score_gemma":0.002163871,"domain_scores_codex":[0.9988158,0.0003594805,0.0001305758,0.0002330136,0.0003420028,0.0001191897],"domain_scores_gemma":[0.9978204,0.0008911448,0.0004135132,0.000622617,0.0001960195,0.00005642304],"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":[0.0001419995,0.0002038035,0.005798071,0.0003861313,0.0001420974,0.0009929007,0.002224256,0.4254185,0.04055902,0.419047,0.0005354053,0.1045508],"study_design_scores_gemma":[0.00004316464,0.0001560876,0.001188116,0.0001258731,0.0001917885,0.0004580281,0.000151611,0.8131468,0.02489407,0.1295334,0.03006606,0.00004505718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03605352,0.0001015504,0.9606501,0.00006071995,0.00001191086,0.00007905648,0.00003422815,0.0005923387,0.002416489],"genre_scores_gemma":[0.3446189,0.0003789101,0.6512429,0.00003709795,0.00001817461,0.0002086976,0.0001957405,0.0003450727,0.002954568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002302484,"threshold_uncertainty_score":0.00819701,"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."}}