{"id":"W4311104044","doi":"10.3390/s22239383","title":"Deep Multi-Scale Features Fusion for Effective Violence Detection and Control Charts Visualization","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Computer science; Process (computing); Artificial intelligence; Visualization; Scale (ratio); Deep learning; Control (management); Machine learning; Dimension (graph theory); Spatial analysis; Data mining; Data science","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":[0.0001657639,0.00008388542,0.00008801571,0.00008569752,0.0006122994,0.00004324195,0.0001287844,0.00003601356,0.000004005529],"category_scores_gemma":[0.00001715629,0.00008559963,0.00004215748,0.0002270752,0.00002344734,0.00009019679,0.00008195477,0.00008269613,0.000001656222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004956791,"about_ca_system_score_gemma":0.000005905736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003074018,"about_ca_topic_score_gemma":0.00001968802,"domain_scores_codex":[0.999282,0.00007764489,0.0001034235,0.0003013161,0.0001094858,0.0001261568],"domain_scores_gemma":[0.9995738,0.00007582971,0.00007889643,0.0001713629,0.00005920822,0.00004085273],"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":[0.0001099614,0.0002091627,0.0006097408,0.00004041983,0.00002474759,0.000002053581,0.001625865,0.004862082,0.1836593,0.008464416,0.00008644249,0.8003058],"study_design_scores_gemma":[0.0006191532,0.0003380752,0.01065582,0.00000688633,0.00001075175,0.00003340904,0.0001271327,0.9156163,0.06874672,0.001372994,0.002307642,0.0001651551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1131977,0.00006693364,0.8853752,0.00011671,0.0001046755,0.0008676333,0.000006350438,0.0002439501,0.00002081105],"genre_scores_gemma":[0.9907668,0.00001990736,0.008119372,0.0001730385,0.00003362533,0.0007934521,0.000002837147,0.000008839364,0.00008217845],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9107542,"threshold_uncertainty_score":0.4709373,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005442953973494518,"score_gpt":0.249585506539645,"score_spread":0.2441425525661505,"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."}}