{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000689676,0.0001677692,0.0001547007,0.0003003301,0.0007306787,0.0002314059,0.0008081628,0.0001385698,0.00001660983],"category_scores_gemma":[0.000003803198,0.0001615628,0.00009887405,0.001044511,0.00007817386,0.0001069312,0.0002345165,0.0004070337,0.00009220984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006484781,"about_ca_system_score_gemma":0.00001800788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000188068,"about_ca_topic_score_gemma":0.00001230165,"domain_scores_codex":[0.9980305,0.0002263423,0.0002377445,0.0005831335,0.0004400623,0.0004821988],"domain_scores_gemma":[0.9984657,0.0002401654,0.0000551559,0.0009542346,0.0001224549,0.0001623254],"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":[0.00001226326,0.0002211268,0.00005654386,0.000002941573,0.000004048772,0.00000583269,0.000007972851,0.04816464,0.0001144789,0.1114744,0.01136106,0.8285747],"study_design_scores_gemma":[0.0001912218,0.001211945,0.004199266,0.00002838289,0.000003566498,0.000006446452,4.495387e-7,0.9432034,0.005297763,0.002492057,0.04316784,0.0001975987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003507204,0.000004207144,0.9907622,0.0002430978,0.000408451,0.0001698723,4.35215e-7,0.0005344223,0.004370096],"genre_scores_gemma":[0.9075528,0.000002380411,0.08958576,0.0009151036,0.001585333,0.0002233967,0.000004877734,0.00001844535,0.0001118922],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9040456,"threshold_uncertainty_score":0.6588339,"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."}}