{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001180437,0.0005523714,0.0005811983,0.0006516706,0.0004164815,0.0002559115,0.001643837,0.0002080586,0.00002948446],"category_scores_gemma":[0.00000416213,0.0006254893,0.0002317045,0.0005083235,0.00004074439,0.002942818,0.0008059932,0.0002462767,0.0001360911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001869988,"about_ca_system_score_gemma":0.0001013021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00064981,"about_ca_topic_score_gemma":0.00003450599,"domain_scores_codex":[0.9973347,0.000124741,0.0003381073,0.001239914,0.0003670729,0.0005955261],"domain_scores_gemma":[0.9974138,0.00008867183,0.0004751667,0.001729047,0.00005457723,0.0002386962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001322006,0.00005877161,0.00002982629,0.002101519,0.0002944385,0.0002279472,0.0001641053,0.0002961291,0.000001248861,0.7343892,0.2587824,0.003522177],"study_design_scores_gemma":[0.0007393002,0.0000611931,0.0002434364,0.001183662,0.0001280683,4.25969e-7,0.001891525,0.0004660426,0.0001058973,0.0001947134,0.9942221,0.0007636023],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0005658782,0.0002597156,0.918734,0.003704128,0.003880645,0.003187769,0.0005644469,0.001280509,0.06782287],"genre_scores_gemma":[0.002632543,0.001231826,0.2092777,0.0001272663,0.0002267274,0.00005614162,0.004067318,0.0001013756,0.7822791],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7354397,"threshold_uncertainty_score":0.9996197,"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."}}