{"id":"W4404776392","doi":"10.1049/itr2.12591","title":"Geo‐spatial traffic behaviour analysis and anomaly detection for ITS applications","year":2024,"lang":"en","type":"article","venue":"IET Intelligent Transport Systems","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Esri (Canada)","funders":"Technische Universiteit Eindhoven; Rijksdienst voor Ondernemend Nederland; ITEA","keywords":"Anomaly detection; Computer science; Anomaly (physics); Transport engineering; Data mining; Engineering","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":[0.0002626775,0.0005843586,0.0004345913,0.002203536,0.0002029545,0.0008132879,0.0006417824,0.000431292,0.001770691],"category_scores_gemma":[0.0008980279,0.0001374852,0.0003626725,0.00179935,0.0001970758,0.0005733092,0.0005193907,0.0003712481,0.0009215078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004561715,"about_ca_system_score_gemma":0.0004610048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006355131,"about_ca_topic_score_gemma":0.005782412,"domain_scores_codex":[0.9996977,0.00004683513,0.0000214164,0.00008150186,0.0001130766,0.00003943086],"domain_scores_gemma":[0.9996347,0.00005969808,0.00005379505,0.00005632911,0.0001560268,0.00003942988],"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":[0.000411432,0.0001744475,0.02685126,0.0003692121,0.0001457636,0.0004017215,0.0002267007,0.1217492,0.06386822,0.004825922,0.01556661,0.7654095],"study_design_scores_gemma":[0.00001083562,0.0000772807,0.01241791,0.00003408365,0.00003312173,0.0002491749,0.0001443377,0.9518427,0.01952434,0.004545465,0.01109898,0.00002175323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1812386,0.0008148003,0.7844846,0.0004516817,0.0001618385,0.000167937,0.003878317,0.02130537,0.007496784],"genre_scores_gemma":[0.8474345,0.0004395641,0.1467239,0.00004782058,0.00005118866,0.00007938029,0.003446602,0.0001885639,0.001588381],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006355131,"threshold_uncertainty_score":0.0126363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537195744225985,"score_gpt":0.2620127390152522,"score_spread":0.2466407815729923,"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."}}