{"id":"W4280555209","doi":"10.18280/isi.270207","title":"Detection and Localization of Abnormal Events for Smart Surveillance","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Anomaly detection; Anomaly (physics); Convolutional neural network; Computer science; Artificial intelligence; Artificial neural network; Pattern recognition (psychology); Data mining; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000622122,0.0009465895,0.0007625802,0.002957152,0.0003894845,0.000990649,0.0008112577,0.000832275,0.0008287723],"category_scores_gemma":[0.001600429,0.0002314188,0.0006016481,0.00148352,0.0003016407,0.001676745,0.0007054167,0.000706446,0.0005907653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000536308,"about_ca_system_score_gemma":0.000546928,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713553,"about_ca_topic_score_gemma":0.002966096,"domain_scores_codex":[0.9992369,0.00009847774,0.00006273181,0.0002572639,0.0002462267,0.00009834373],"domain_scores_gemma":[0.9992092,0.0001634086,0.0001849941,0.0001255212,0.0002640102,0.00005298516],"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":[0.0004305037,0.0002802845,0.05049049,0.0004313934,0.0001544768,0.0006996226,0.000268959,0.03811684,0.06496123,0.006647286,0.01308769,0.8244313],"study_design_scores_gemma":[0.0000177184,0.0002260955,0.03027506,0.0000848476,0.000119861,0.001096709,0.0003976222,0.8997713,0.04247355,0.009159906,0.0163206,0.00005670896],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.143306,0.003036557,0.8429135,0.0006640404,0.0003431464,0.0001895736,0.001504477,0.003667729,0.004374942],"genre_scores_gemma":[0.7766497,0.001867754,0.2155023,0.0001675173,0.0002082763,0.0000984465,0.002801835,0.00009992845,0.00260418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002957152,"threshold_uncertainty_score":0.005395532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00967722663198644,"score_gpt":0.222751850712842,"score_spread":0.2130746240808556,"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."}}