{"id":"W2347998252","doi":"","title":"Research on Human Abnormal Behavior Detection Based on Optical Flow Energy","year":2014,"lang":"en","type":"article","venue":"Computer & Network","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Optical flow; Energy (signal processing); Flow (mathematics); Artificial intelligence; False positive rate; Pattern recognition (psychology); Computer vision; Algorithm; Image (mathematics); Statistics; Mathematics","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":[0.0006805693,0.0007754727,0.0006001035,0.00270785,0.0003126751,0.0008761436,0.0007282059,0.0005890395,0.0008352869],"category_scores_gemma":[0.002530371,0.0002595526,0.0005875466,0.001595738,0.0006627685,0.002619888,0.0003401388,0.0005011676,0.0002405422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005851265,"about_ca_system_score_gemma":0.0004675599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126761,"about_ca_topic_score_gemma":0.0009607016,"domain_scores_codex":[0.9991671,0.000154228,0.00004443834,0.0002023661,0.0003774695,0.00005449219],"domain_scores_gemma":[0.9985322,0.0005704184,0.0001723273,0.00008726694,0.0005872169,0.00005057134],"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":[0.0002631305,0.0001445348,0.0140128,0.0006185717,0.0001511302,0.0002249333,0.0003421633,0.03715803,0.03807873,0.01598051,0.002269836,0.8907557],"study_design_scores_gemma":[0.00004409618,0.0006263993,0.02464169,0.0001860331,0.0002953564,0.001360784,0.0005149328,0.8431308,0.0883549,0.01795445,0.02268855,0.0002020129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07581459,0.006341588,0.9103637,0.0004845431,0.0002052972,0.0001040209,0.00009216868,0.0007150975,0.00587901],"genre_scores_gemma":[0.7617894,0.008050592,0.2255791,0.0001713611,0.000283081,0.0001130972,0.0002187173,0.00008582877,0.003708917],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00270785,"threshold_uncertainty_score":0.0042454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04398392015748898,"score_gpt":0.3273880722393304,"score_spread":0.2834041520818414,"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."}}