{"id":"W4408482362","doi":"10.19139/soic-2310-5070-2259","title":"Abnormal Behavior Detection in Surveillance Systems Using a Hybrid EfficientNet-Transformer Model","year":2025,"lang":"en","type":"article","venue":"Statistics Optimization & Information Computing","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":"","keywords":"Transformer; Computer science; Engineering; Electrical 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":[0.0004225169,0.0005985264,0.0005285618,0.0006369022,0.0001786003,0.0005783166,0.0009730351,0.0003839418,0.001194922],"category_scores_gemma":[0.0009488247,0.0002907385,0.0005100962,0.0003919241,0.0003084486,0.001059282,0.0004940915,0.0005530132,0.000363097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008539781,"about_ca_system_score_gemma":0.0008476995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01188999,"about_ca_topic_score_gemma":0.01648906,"domain_scores_codex":[0.9997986,0.00003652856,0.00001122269,0.0000673002,0.0000562051,0.00003009194],"domain_scores_gemma":[0.9997234,0.0001093813,0.00002862996,0.00003382089,0.00008626226,0.00001850586],"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":[0.0002301795,0.0001646263,0.004210134,0.00005040191,0.00008707157,0.0001048207,0.00004275413,0.8542511,0.01073413,0.005262586,0.001801322,0.1230609],"study_design_scores_gemma":[0.000001840985,0.00001019828,0.00009115735,5.682041e-7,0.000003246695,0.000007728184,0.000001442967,0.9986923,0.0005377372,0.0005817661,0.00007075618,0.000001203179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09764098,0.000283742,0.8968869,0.0002980507,0.00005441304,0.00006102766,0.0002852225,0.002423256,0.002066311],"genre_scores_gemma":[0.9322118,0.0001865922,0.06404757,0.0001115956,0.0000306313,0.0000605842,0.0005236417,0.00007809269,0.002749444],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01188999,"threshold_uncertainty_score":0.02364159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009189233084896655,"score_gpt":0.2591130718710099,"score_spread":0.2499238387861132,"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."}}