{"id":"W2138261110","doi":"10.1109/ccece.2004.1345328","title":"Design of a multi-agent system for autonomous database administration","year":2004,"lang":"en","type":"article","venue":"","topic":"Multi-Agent Systems and Negotiation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Database administrator; Database; Workload; Component (thermodynamics); Set (abstract data type); Relational database; The Internet; Intelligent agent; Multi-agent system; Distributed database; World Wide Web; Artificial intelligence","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":[0.001264659,0.0003568085,0.0004962339,0.0003752166,0.00110511,0.002503922,0.001827628,0.001489751,0.002321122],"category_scores_gemma":[0.001579619,0.0004981195,0.0004893452,0.0002830682,0.0006386325,0.001259479,0.001132178,0.001135138,0.001054125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006286183,"about_ca_system_score_gemma":0.001939343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564857,"about_ca_topic_score_gemma":0.001459339,"domain_scores_codex":[0.9992048,0.000235645,0.0000766314,0.0001647556,0.0002396762,0.00007859094],"domain_scores_gemma":[0.9994048,0.0001467198,0.00006412961,0.00006883024,0.0002011137,0.000114418],"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":[0.0006297661,0.0007590897,0.005733085,0.0007905409,0.0003200416,0.002425445,0.00255996,0.3172631,0.1162108,0.2946919,0.009752958,0.2488634],"study_design_scores_gemma":[0.000155739,0.0003044711,0.0004628655,0.00006449092,0.0001145899,0.0004895001,0.0002082702,0.9009236,0.0170833,0.01971225,0.0604328,0.00004818066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01216708,0.0002163239,0.9788841,0.0004377499,0.00008989908,0.00057071,0.00003213684,0.001208199,0.006393857],"genre_scores_gemma":[0.2462081,0.0002510165,0.7448056,0.0001955512,0.00005705091,0.0008309409,0.00009175148,0.00007598504,0.007484041],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002503922,"threshold_uncertainty_score":0.007764935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0779628903842587,"score_gpt":0.293902944553374,"score_spread":0.2159400541691153,"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."}}