{"id":"W4403687866","doi":"10.18280/isi.290534","title":"Deep Learning Based Multistage Approach for Anomaly Detection","year":2024,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Anomaly detection; Anomaly (physics); Computer science; Artificial intelligence; Deep learning; Machine learning; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001230818,0.0008088336,0.001159888,0.001180921,0.0004878308,0.0008521723,0.00187273,0.001388412,0.002147804],"category_scores_gemma":[0.001720753,0.0005638984,0.001068816,0.000929508,0.0004154964,0.001220786,0.001417125,0.002034089,0.0005576201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006881338,"about_ca_system_score_gemma":0.00113281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005215722,"about_ca_topic_score_gemma":0.007939662,"domain_scores_codex":[0.9991559,0.0001492886,0.00005429384,0.0002094573,0.0002633781,0.0001677579],"domain_scores_gemma":[0.9987993,0.0004501973,0.0000987806,0.0001626769,0.0004182337,0.00007071545],"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":[0.0004781831,0.0005073733,0.007755933,0.0001637096,0.000326332,0.0002630948,0.0001202872,0.3230388,0.0364584,0.01242982,0.004772674,0.6136854],"study_design_scores_gemma":[0.000002063095,0.00002730758,0.0002848239,0.000001981315,0.00001031665,0.0000218599,0.000002790308,0.9956622,0.002058588,0.001712003,0.0002121032,0.000004120576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0218746,0.0002133649,0.9764627,0.0001309575,0.00004536747,0.00002828473,0.0000750142,0.0006595058,0.0005102766],"genre_scores_gemma":[0.6868703,0.0002328894,0.303421,0.0001955927,0.0001020061,0.00009684408,0.0005015715,0.0001014866,0.008478346],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005215722,"threshold_uncertainty_score":0.01037073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234533049213975,"score_gpt":0.2354122626116882,"score_spread":0.2230669321195484,"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."}}