{"id":"W4206008239","doi":"10.18280/ts.380606","title":"A Deep Learning Based System for the Detection of Human Violence in Video Data","year":2021,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Key (lock); Artificial intelligence; ALARM; Deep learning; Artificial neural network; Point (geometry); Ground truth; Pattern recognition (psychology); Punching; Machine learning; Data mining; Computer security; Engineering","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":[0.0006641289,0.0008462777,0.0005583367,0.001054978,0.0003258776,0.0004383693,0.001119602,0.0006821566,0.002123083],"category_scores_gemma":[0.00119148,0.0003097901,0.0004039372,0.0007077301,0.0001826894,0.0008778952,0.0008151889,0.001054285,0.001196806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008793121,"about_ca_system_score_gemma":0.0006676367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005369,"about_ca_topic_score_gemma":0.01670379,"domain_scores_codex":[0.9996682,0.00003477257,0.00002715839,0.0001295206,0.00008807941,0.00005229628],"domain_scores_gemma":[0.9997386,0.00005374474,0.00003500954,0.00005621904,0.00009212455,0.00002419404],"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":[0.0005728902,0.0004913943,0.004796668,0.0001868918,0.000173598,0.000278634,0.00008535058,0.03601162,0.05649264,0.001717683,0.02013085,0.8790619],"study_design_scores_gemma":[0.00001479449,0.0001407249,0.002816361,0.00001723535,0.00002480445,0.0001099652,0.00001824876,0.971006,0.02110654,0.001135008,0.003589571,0.00002074932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1586263,0.001661195,0.7923636,0.0005558216,0.0003782163,0.0003631926,0.005519853,0.03629649,0.004235283],"genre_scores_gemma":[0.627506,0.0007151939,0.3529606,0.0003825251,0.00007714466,0.0002892835,0.00965972,0.0001868287,0.00822264],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01005369,"threshold_uncertainty_score":0.01999032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173463555759053,"score_gpt":0.2740572881920119,"score_spread":0.2423226526344214,"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."}}