{"id":"W4415538738","doi":"10.1145/3746027.3755576","title":"ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model","year":2025,"lang":"","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Natural Science Basic Research Program of Shaanxi Province; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Anomaly detection; Key (lock); Property (philosophy); Anomaly (physics); Feature (linguistics); Unsupervised learning; Pattern recognition (psychology); Computation; Perspective (graphical)","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":[0.0007748396,0.0006799003,0.000847068,0.0003964724,0.0004665164,0.000786382,0.001782361,0.0007413353,0.002548996],"category_scores_gemma":[0.002362959,0.0003326388,0.0005761522,0.0003842855,0.0006270485,0.0009234568,0.001605164,0.001591897,0.0006699063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005876136,"about_ca_system_score_gemma":0.001318351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007337236,"about_ca_topic_score_gemma":0.007889778,"domain_scores_codex":[0.9996179,0.00008462273,0.00001648169,0.0001191808,0.0001050258,0.00005681621],"domain_scores_gemma":[0.999067,0.0004144806,0.00009208154,0.000120119,0.0002398228,0.00006651901],"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":[0.0001360834,0.00006990316,0.0009545799,0.00008640124,0.00005876564,0.00006501265,0.0000837519,0.8562658,0.00740125,0.01591473,0.003178993,0.1157847],"study_design_scores_gemma":[0.000003686346,0.0000092975,0.00003934559,0.000001591401,0.000002008197,0.000005418107,0.00000253928,0.9976481,0.0003870915,0.00164934,0.0002489827,0.000002743135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009064573,0.0001179068,0.9881575,0.0001389582,0.00004063271,0.00003489515,0.00006433442,0.001000774,0.001380378],"genre_scores_gemma":[0.7470564,0.0001853998,0.2474284,0.0002513769,0.00006489819,0.0002892556,0.0004372328,0.0001939206,0.004093124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007337236,"threshold_uncertainty_score":0.01458907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01563967350595667,"score_gpt":0.2699503602487381,"score_spread":0.2543106867427814,"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."}}