{"id":"W4410493037","doi":"10.1109/wispnet64060.2025.11004967","title":"Federated Learning for Anomaly Detection in Smart Cities","year":2025,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Anomaly detection; Computer science; Anomaly (physics); Artificial intelligence","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":[0.002659678,0.0006787385,0.001114508,0.0009216795,0.0006159868,0.001142215,0.001691315,0.001156731,0.0008303999],"category_scores_gemma":[0.005732899,0.0003235043,0.0008114452,0.0008835706,0.001110849,0.002214242,0.001993872,0.001396872,0.000233667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001032956,"about_ca_system_score_gemma":0.00127294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004182927,"about_ca_topic_score_gemma":0.003639502,"domain_scores_codex":[0.9988366,0.0004022358,0.00007069772,0.0003228714,0.000220197,0.0001474232],"domain_scores_gemma":[0.9979489,0.0009527394,0.0002040171,0.000440616,0.0003625093,0.00009119807],"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":[0.0002031557,0.0001897083,0.004379744,0.00005518494,0.0001185872,0.0001427243,0.0001162516,0.8057415,0.002519556,0.01192558,0.001311559,0.1732964],"study_design_scores_gemma":[0.000003836094,0.00001721868,0.0001814436,0.000002347846,0.000004195663,0.00001835073,0.00001115596,0.9922833,0.0007955832,0.006485075,0.0001939009,0.000003554444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0251178,0.0001133357,0.9731741,0.0001624392,0.00002521434,0.00001829717,0.00004652027,0.0009565279,0.0003858141],"genre_scores_gemma":[0.8642275,0.000109897,0.134092,0.0001720018,0.00003801797,0.00005758643,0.000226467,0.00005879876,0.00101763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004182927,"threshold_uncertainty_score":0.01406592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01601939221176923,"score_gpt":0.3016009758080754,"score_spread":0.2855815835963062,"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."}}