{"id":"W2412110880","doi":"10.5539/ijsp.v5n4p45","title":"Dynamic Reliability of a Cluster Server","year":2016,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Advanced Queuing Theory Analysis","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Queue; Computer science; Task (project management); Channel (broadcasting); Poisson process; Function (biology); Poisson distribution; Dependency (UML); Reliability (semiconductor); Computer network; Process (computing); Real-time computing; Operating system; Mathematics; Statistics; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745484,0.0004786135,0.0006558761,0.0008222022,0.0007930921,0.001258299,0.001450351,0.0008400284,0.002522462],"category_scores_gemma":[0.007987519,0.0004099493,0.0003235888,0.0007342919,0.001056806,0.001343557,0.001067518,0.0006595574,0.0006019939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042088,"about_ca_system_score_gemma":0.001576394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01035226,"about_ca_topic_score_gemma":0.003139514,"domain_scores_codex":[0.9989824,0.0002278451,0.00003201543,0.0002089107,0.0002513554,0.0002974615],"domain_scores_gemma":[0.9966074,0.00143558,0.0003317816,0.00032304,0.001010436,0.0002916954],"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":[0.0003675737,0.00004108227,0.006515999,0.00006517891,0.00003408254,0.0004374286,0.0003559376,0.920077,0.004861512,0.05520996,0.002820454,0.00921379],"study_design_scores_gemma":[0.00001034753,0.00004237098,0.001082401,0.000006526467,0.00001170844,0.0001137133,0.0001051726,0.9907287,0.000583618,0.006821697,0.0004779745,0.00001571327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7792294,0.0005856684,0.2087688,0.0009434993,0.00008492579,0.00006104935,0.0004013828,0.000680659,0.009244571],"genre_scores_gemma":[0.99603,0.00008233096,0.002327967,0.00002299427,0.00001396836,0.00001958113,0.00005567716,0.00002419462,0.001423128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01035226,"threshold_uncertainty_score":0.02058399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008787367478200086,"score_gpt":0.2545118288699656,"score_spread":0.2457244613917655,"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."}}