{"id":"W4229001174","doi":"10.3390/app12031021","title":"A CNN-RNN Combined Structure for Real-World Violence Detection in Surveillance Cameras","year":2022,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Anomaly detection; Convolutional neural network; Artificial intelligence; Computer vision; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006034482,0.0001145065,0.0001431251,0.0002539876,0.000939676,0.0001054445,0.001044146,0.00002629465,0.00002527474],"category_scores_gemma":[0.000008930959,0.0001129457,0.00003954968,0.002262009,0.000132561,0.0001511364,0.0002485979,0.0001284973,0.000002822275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001065571,"about_ca_system_score_gemma":0.00008414233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003613591,"about_ca_topic_score_gemma":0.0009836623,"domain_scores_codex":[0.9985702,0.00004074656,0.0002320285,0.0005658466,0.0003010611,0.0002900899],"domain_scores_gemma":[0.9993336,0.0001237688,0.0001372446,0.0003290288,0.00003034819,0.00004603284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004804359,0.0001288348,0.004248623,0.00001814898,0.000007164895,0.000001701492,0.0005054533,0.004597312,0.07169013,0.7128896,0.0004747864,0.2053902],"study_design_scores_gemma":[0.00161404,0.001218631,0.05890619,0.00002278866,0.00000790685,0.00002590128,0.0009299926,0.2418912,0.1855768,0.480208,0.02813092,0.001467653],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4085408,0.00003893845,0.5832866,0.0009913642,0.0003756823,0.001472546,0.00002746149,0.0005763886,0.004690237],"genre_scores_gemma":[0.9849902,0.00001132674,0.01379504,0.0002652396,0.00002821295,0.0008186204,0.000002523893,0.000005610086,0.00008317931],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5764495,"threshold_uncertainty_score":0.7227323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01283933448991194,"score_gpt":0.2614424929308597,"score_spread":0.2486031584409477,"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."}}