{"id":"W2661131174","doi":"","title":"Chorus: model knowledge base for performance modeling in datacenters","year":2011,"lang":"en","type":"article","venue":"","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chorus; Computer science; Reuse; Distributed computing; Resource (disambiguation); Service (business); Knowledge base; Performance indicator; Artificial intelligence; Computer network","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":[0.004531377,0.002307035,0.001477392,0.002745326,0.001375494,0.004793278,0.00555952,0.002180676,0.004693803],"category_scores_gemma":[0.0172801,0.001746243,0.002936793,0.001799774,0.001318251,0.004741769,0.002859463,0.003414687,0.00166253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002392233,"about_ca_system_score_gemma":0.004979958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02844478,"about_ca_topic_score_gemma":0.03460946,"domain_scores_codex":[0.997322,0.0007366716,0.0003452727,0.0004548618,0.0009932606,0.0001479938],"domain_scores_gemma":[0.9933324,0.003671858,0.0004656858,0.00147755,0.0008732712,0.00017917],"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":[0.0001286123,0.0002357757,0.002104377,0.0006043853,0.0001833985,0.0005152021,0.0005041078,0.8537254,0.00197995,0.06028694,0.01089024,0.06884163],"study_design_scores_gemma":[0.00002493579,0.00001969118,0.0001470191,0.0001364934,0.00004849551,0.0000598202,0.00005469089,0.956611,0.00210677,0.02554445,0.01521826,0.00002834443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004842217,0.0001772863,0.9771633,0.000356844,0.00003850009,0.0002550413,0.002511266,0.01188629,0.002769371],"genre_scores_gemma":[0.1139491,0.0007522406,0.8683413,0.000287968,0.00004773643,0.0009564249,0.01201921,0.001799227,0.001846784],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02844478,"threshold_uncertainty_score":0.05655837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1120372113696402,"score_gpt":0.2711208296091353,"score_spread":0.1590836182394951,"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."}}