{"id":"W4412034880","doi":"10.18280/isi.300517","title":"Comparison of Anomaly Detection Using Statistical Method and Deep Learning Method in Jakarta Air Quality Index Data","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anomaly detection; Anomaly (physics); Index (typography); Computer science; Quality (philosophy); Artificial intelligence; Statistics; Data mining; Pattern recognition (psychology); Mathematics; Physics; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002528489,0.0001272961,0.0003080289,0.0004032511,0.0002282741,0.000165288,0.0005292116,0.00009521314,0.000001953059],"category_scores_gemma":[0.001297007,0.0001350368,0.00001788954,0.0007875176,0.00006996566,0.002284177,0.0005266803,0.0003049517,0.000002658887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001023887,"about_ca_system_score_gemma":0.00008131778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002041025,"about_ca_topic_score_gemma":0.0001762426,"domain_scores_codex":[0.998044,0.0005166577,0.0007928091,0.0002618269,0.0001923997,0.0001922662],"domain_scores_gemma":[0.9981704,0.0006635457,0.0004151179,0.0005825236,0.0001238151,0.00004463938],"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":[0.00001946509,0.00003083169,0.05050104,0.0002416612,0.00002189988,2.190337e-7,0.003913782,0.02035572,0.0003924544,0.01895904,0.000009665166,0.9055542],"study_design_scores_gemma":[0.000234631,0.00003226337,0.1486989,0.00006428561,0.00001288845,0.000006682849,0.0006718081,0.8464389,0.0003827598,0.00242185,0.0009270881,0.0001079702],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0548858,0.00006417258,0.9439347,0.00003949607,0.0000734663,0.0001589907,0.00001940082,0.00009579761,0.0007281952],"genre_scores_gemma":[0.6469302,0.000003005479,0.3529173,0.00002948143,0.000005178305,0.000009497168,0.00009742419,0.000002791983,0.000005156264],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9054462,"threshold_uncertainty_score":0.5506642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04790363158171691,"score_gpt":0.4028932527735115,"score_spread":0.3549896211917946,"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."}}