{"id":"W2139506117","doi":"10.1109/qest.2007.25","title":"Performance Modeling of a Quorum Pattern in Layered Service Systems","year":2007,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Scalability; Computer science; Distributed computing; Quorum sensing; Service (business); Value (mathematics); Database; Machine learning","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":[0.0006891949,0.00009871052,0.0001992794,0.00009536961,0.00002809859,0.00004362336,0.0005679668,0.00005818264,0.000002237297],"category_scores_gemma":[0.000003936995,0.00008596724,0.00002605159,0.0005525706,0.000005518112,0.0003520983,0.0001001217,0.00008195995,0.00002285567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003194793,"about_ca_system_score_gemma":0.00002974479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001869021,"about_ca_topic_score_gemma":0.0004419249,"domain_scores_codex":[0.998738,0.00002052757,0.0004661533,0.0002289144,0.0002417468,0.0003046902],"domain_scores_gemma":[0.9993067,0.00002363306,0.00008718701,0.0003970133,0.0001300019,0.00005549976],"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":[0.00003853654,0.00035774,0.1168169,0.001292958,0.00003902559,0.0000647733,0.004015482,0.8012216,0.003653803,0.01315969,0.0003177874,0.05902172],"study_design_scores_gemma":[0.0002710748,0.00001942923,0.003178758,0.0001500061,5.690715e-7,0.00000976361,0.0001706882,0.9956376,0.0002564539,0.000007633676,0.0001919355,0.0001061023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3822863,0.00007812803,0.6133829,0.00008075719,0.0002064979,0.00009729093,0.000002098416,0.00004390212,0.003822096],"genre_scores_gemma":[0.9988881,0.000004810835,0.0008725961,0.0001137241,0.0000262254,0.000005422742,0.000001601166,0.000004801392,0.00008270397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6166018,"threshold_uncertainty_score":0.3505642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045322654065766,"score_gpt":0.2340944142484767,"score_spread":0.213641187707819,"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."}}