{"id":"W4401726558","doi":"10.1109/tnsm.2024.3447532","title":"Real-Time Adaptive Anomaly Detection in Industrial IoT Environments","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Network and Service Management","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Anomaly detection; Internet of Things; Real-time computing; Embedded system; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001817989,0.0001549879,0.0001184165,0.0002007117,0.0001903428,0.0001269054,0.0002155488,0.00009336276,0.00003252604],"category_scores_gemma":[9.148087e-8,0.000159402,0.00004853289,0.0009164541,0.00001710885,0.0001668978,0.00001075773,0.0002176642,0.0001022542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001072061,"about_ca_system_score_gemma":0.00001025183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001517243,"about_ca_topic_score_gemma":0.0001240806,"domain_scores_codex":[0.9988852,0.00005045709,0.0002166159,0.0004614775,0.000155912,0.0002303824],"domain_scores_gemma":[0.9995611,0.00003959023,0.00003143658,0.0002970623,0.000006868118,0.00006388885],"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":[0.00004888463,0.0001538909,0.000004501554,0.00003203166,0.00009958378,0.00002857401,0.0002231778,0.04087591,0.0007084034,0.003936952,0.0002869542,0.9536011],"study_design_scores_gemma":[0.0006541843,0.0004057311,0.0008901441,0.0001818233,0.00008177225,0.00001621096,0.0001024962,0.9497104,0.00410232,0.002461644,0.04088255,0.0005107714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01061902,0.00002831282,0.9841874,0.0005869712,0.000301998,0.0004807698,0.000003086702,0.0003389114,0.003453549],"genre_scores_gemma":[0.9905517,0.0006893038,0.007057745,0.0002650016,0.00009634508,0.00030252,0.000001099015,0.00001743316,0.001018888],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9799327,"threshold_uncertainty_score":0.6500223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485575881327237,"score_gpt":0.2152373455103004,"score_spread":0.200381586697028,"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."}}