{"id":"W4415359858","doi":"10.59934/jaiea.v5i1.1362","title":"Implementation of the Isolation Forest Algorithm for Mysql Query Performance Anomaly Detection Based on Data Performance Schema","year":2025,"lang":"","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Schema (genetic algorithms); Anomaly detection; Precision and recall; Query optimization; Isolation (microbiology); Process (computing); Query language; Data modeling","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":[0.001854631,0.0006991962,0.000546309,0.001367197,0.0006782949,0.0007917733,0.001680756,0.0004474788,0.001046252],"category_scores_gemma":[0.005051455,0.0002951194,0.0005061552,0.001082775,0.0002900867,0.001316745,0.0006411737,0.0008342004,0.0007319276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005297529,"about_ca_system_score_gemma":0.001462806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008059014,"about_ca_topic_score_gemma":0.008072706,"domain_scores_codex":[0.9987432,0.0001218796,0.000133707,0.0003734444,0.0005125054,0.0001152391],"domain_scores_gemma":[0.9980082,0.0005850476,0.0002155664,0.0003581442,0.0007582629,0.00007488041],"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":[0.0006788878,0.0008166339,0.06655464,0.0002862833,0.0001959332,0.0002679391,0.000654232,0.05908985,0.05319143,0.00421048,0.01596157,0.7980922],"study_design_scores_gemma":[0.00003036885,0.00008604184,0.007188269,0.00001218881,0.00002224695,0.0002000636,0.00007761868,0.957754,0.02901087,0.002019027,0.003571946,0.00002736061],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07495242,0.0001955264,0.8733781,0.0001729803,0.0000453131,0.0003035705,0.0008185522,0.04868569,0.001447766],"genre_scores_gemma":[0.4924699,0.00009786075,0.5019003,0.0001031245,0.00002443369,0.0002860635,0.003408244,0.0006300882,0.001080016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008059014,"threshold_uncertainty_score":0.01602423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370855042634289,"score_gpt":0.3299860577771748,"score_spread":0.2962775073508319,"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."}}