{"id":"W4411552276","doi":"10.1109/icse55347.2025.00078","title":"Automated, Unsupervised, and Auto-Parameterized Inference of Data Patterns and Anomaly Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Anomaly detection; Computer science; Parameterized complexity; Inference; Artificial intelligence; Anomaly (physics); Pattern recognition (psychology); Data mining; Algorithm","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":[0.005433959,0.001734689,0.001264598,0.001787379,0.0006175561,0.001656593,0.004588825,0.001440008,0.002037523],"category_scores_gemma":[0.02189638,0.001139523,0.001964687,0.00146007,0.001343152,0.00374533,0.002800697,0.003000129,0.001900456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001360602,"about_ca_system_score_gemma":0.001998927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00516454,"about_ca_topic_score_gemma":0.009242806,"domain_scores_codex":[0.9947508,0.001673018,0.000423309,0.001969949,0.0009125046,0.0002704337],"domain_scores_gemma":[0.9853541,0.006687744,0.001172246,0.005247058,0.001361009,0.0001777464],"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":[0.0004095124,0.0004099155,0.01855126,0.0003231223,0.0002367686,0.0003921548,0.0005013196,0.239675,0.02081657,0.006777069,0.01252854,0.6993787],"study_design_scores_gemma":[0.00001897276,0.0000486467,0.001263779,0.00001837676,0.00001743261,0.0001194747,0.00005657973,0.9755809,0.01224365,0.00845851,0.002152194,0.00002156355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02032577,0.0001077609,0.958618,0.0001523604,0.00001892632,0.0001035545,0.0006033407,0.01950042,0.0005699012],"genre_scores_gemma":[0.2204577,0.00009778181,0.771419,0.0002593551,0.00002882752,0.0003126964,0.004400976,0.001528717,0.001494948],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005433959,"threshold_uncertainty_score":0.0287379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718650258158289,"score_gpt":0.3075953971276336,"score_spread":0.2804088945460507,"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."}}