{"id":"W2146981671","doi":"10.1109/ares.2014.20","title":"Enhanced Configuration Generation Approach for Highly Available COTS Based Systems","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ericsson (Canada); Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Middleware (distributed applications); Software deployment; Process (computing); Distributed computing; Automation; Service (business); Set (abstract data type); Task (project management); Quality of service; Software; Software engineering; Reliability engineering; Systems engineering; Engineering; Operating system; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007169845,0.0001197412,0.0001632688,0.00006534814,0.00009334769,0.0001409054,0.0003179507,0.00007034613,0.0000037398],"category_scores_gemma":[0.0005466386,0.000106268,0.00003365186,0.0001420239,0.00001466501,0.0003864954,0.00002420947,0.00004804456,0.00002226773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004154775,"about_ca_system_score_gemma":0.00003357886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008636349,"about_ca_topic_score_gemma":7.289091e-7,"domain_scores_codex":[0.9989867,0.0001167496,0.0001961327,0.0003549446,0.0001442529,0.0002012134],"domain_scores_gemma":[0.9987833,0.0005143557,0.00007645317,0.0004320973,0.000150743,0.00004306151],"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":[0.000003900672,0.00001705003,0.000002287299,0.00005580621,0.000005363142,6.657771e-8,0.00003456422,0.7610306,0.1468212,0.08535986,0.001629524,0.005039749],"study_design_scores_gemma":[0.0002262579,0.00005975425,0.000004660701,0.00000409934,0.000001963235,5.067995e-7,0.000002882381,0.7717996,0.2260667,0.000246311,0.00147084,0.0001164537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001771599,0.0000444016,0.9960173,0.00005080384,0.0006968795,0.000408228,0.000001086308,0.0007470095,0.001857091],"genre_scores_gemma":[0.2373779,0.000001167932,0.7609673,0.00008812601,0.000123779,0.0001776726,0.00002331272,0.000008950116,0.001231791],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2372008,"threshold_uncertainty_score":0.4333481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.063711685992046,"score_gpt":0.2683464546522205,"score_spread":0.2046347686601745,"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."}}