{"id":"W2013542440","doi":"10.1109/compsacw.2010.20","title":"The Level of Decomposition Impact on Component Fault Tolerance","year":2010,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Reliability engineering; Merge (version control); Software fault tolerance; Fault tolerance; Computer science; Software quality; Component (thermodynamics); Reliability (semiconductor); Component-based software engineering; Software; Software system; Distributed computing; Software development; Engineering; Parallel computing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005094734,0.00006883394,0.0001052389,0.00004623864,0.0001615161,0.00009955453,0.0007585097,0.00003444247,0.00003261455],"category_scores_gemma":[0.00007181501,0.00003587504,0.0001240577,0.0002552136,0.00008145192,0.0001191018,0.0001002167,0.0001991584,0.0000501815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001817304,"about_ca_system_score_gemma":0.00004353447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002184589,"about_ca_topic_score_gemma":0.00007326815,"domain_scores_codex":[0.9990526,0.0000602361,0.0001638074,0.0001748974,0.0003742648,0.0001742091],"domain_scores_gemma":[0.9985759,0.0005746504,0.0000436699,0.0006060179,0.0001353733,0.00006435926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001433388,0.001085878,0.01488606,0.00003321717,0.0001637565,0.000007594991,0.0005611992,0.01198036,0.2256089,0.1957538,0.005126489,0.5446494],"study_design_scores_gemma":[0.0004220636,0.0003129864,0.2383069,0.00002150267,0.000005155887,0.0000106611,0.00001832807,0.6280671,0.1216856,0.008389737,0.002546618,0.0002132314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7978521,0.00001578295,0.1992268,0.001643865,0.0001207225,0.00008339153,0.000003241395,0.00004228294,0.0010118],"genre_scores_gemma":[0.993723,0.00001213828,0.006028273,0.000062912,0.00002388341,0.000004419129,0.0000010971,0.000002090306,0.000142176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6160868,"threshold_uncertainty_score":0.1462942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04114896036851622,"score_gpt":0.35882143285384,"score_spread":0.3176724724853238,"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."}}