{"id":"W2025213465","doi":"10.1515/itit-2014-1016","title":"A framework for autonomic workload management in DBMSs","year":2014,"lang":"en","type":"article","venue":"it - Information Technology","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); Queen's University","funders":"","keywords":"Workload; Computer science; Online transaction processing; IBM; Transaction processing; Database; Distributed computing; Operating system; Database transaction","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":[0.007612416,0.0007354944,0.0009758269,0.001410294,0.001342676,0.004041751,0.004148776,0.001479413,0.001431624],"category_scores_gemma":[0.006197813,0.001088493,0.001109058,0.0009669476,0.001643586,0.003326953,0.003161956,0.002172554,0.0005798117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00143588,"about_ca_system_score_gemma":0.002062537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004989352,"about_ca_topic_score_gemma":0.004283334,"domain_scores_codex":[0.9962994,0.001097989,0.0004895966,0.000464844,0.001310567,0.0003375249],"domain_scores_gemma":[0.9968285,0.0008586574,0.0002514784,0.0009376628,0.0006429447,0.0004806729],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004844534,0.000925036,0.007710696,0.0007666117,0.0003496609,0.001183145,0.002823052,0.2272418,0.04161829,0.3700859,0.01969411,0.3271172],"study_design_scores_gemma":[0.0001262342,0.000154209,0.0008275666,0.0001575778,0.00006951342,0.0003185333,0.00015827,0.8817307,0.007894429,0.05950063,0.04896498,0.00009729961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01091429,0.0003516873,0.9753342,0.0003591819,0.00006919618,0.000405366,0.00007845524,0.01008989,0.002397718],"genre_scores_gemma":[0.2241161,0.0003861961,0.771475,0.0002042869,0.0001151959,0.0005427341,0.0004063272,0.0006054007,0.002148772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007612416,"threshold_uncertainty_score":0.04025882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0083655431046462,"score_gpt":0.2396652099528175,"score_spread":0.2312996668481712,"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."}}