{"id":"W2186780785","doi":"","title":"AUTONOMIC WORKLOAD MANAGEMENT FOR DATABASE MANAGEMENT SYSTEMS","year":2014,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University","keywords":"Workload; Database; Computer science; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002707097,0.0004939385,0.0005769251,0.0007800738,0.0008707138,0.002503495,0.00149462,0.0004596769,0.0004257238],"category_scores_gemma":[0.005480262,0.0003321306,0.0002997323,0.0006716813,0.0004833178,0.001779453,0.0009779022,0.0006953322,0.000177977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008842124,"about_ca_system_score_gemma":0.00120685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001669456,"about_ca_topic_score_gemma":0.001550479,"domain_scores_codex":[0.9983587,0.0004317112,0.0001620148,0.0002356751,0.0006832181,0.0001287426],"domain_scores_gemma":[0.9979417,0.0006040293,0.0002868604,0.0003928227,0.0005953758,0.0001792764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003780473,0.0004788428,0.01583154,0.0003292834,0.0001113344,0.00027626,0.001053357,0.1755212,0.06837853,0.03738895,0.006164792,0.6940877],"study_design_scores_gemma":[0.00003448917,0.0001695064,0.003895817,0.00006028871,0.00003901849,0.0001978639,0.0001564609,0.9495653,0.01490981,0.02082526,0.01010132,0.0000448838],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08951999,0.001665696,0.8969617,0.0007100079,0.0001036795,0.000431009,0.00008885159,0.004869116,0.005650016],"genre_scores_gemma":[0.7818986,0.0006656727,0.2150708,0.0002005185,0.0001179974,0.0002383927,0.0002123552,0.0001456464,0.001450104],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002707097,"threshold_uncertainty_score":0.01431668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007045717252563233,"score_gpt":0.1981295313638845,"score_spread":0.1910838141113213,"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."}}