{"id":"W4413228279","doi":"10.18280/isi.300610","title":"Real Time Classification of Retail Theft Utilizing YOLO Algorithm","year":2025,"lang":"fr","type":"article","venue":"Ingénierie des systèmes d information","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Business; Algorithm; Artificial intelligence","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":[0.0003478123,0.000631299,0.0006998402,0.001828655,0.0002392487,0.0006727461,0.0005616415,0.0005373207,0.001341097],"category_scores_gemma":[0.0006693495,0.0001450475,0.0004817244,0.000700081,0.0002043153,0.0004523885,0.0002995712,0.0003444845,0.0009277911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004440325,"about_ca_system_score_gemma":0.0004852356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01091738,"about_ca_topic_score_gemma":0.01080948,"domain_scores_codex":[0.9997981,0.00001772331,0.00001334128,0.00006271319,0.00004495252,0.00006319758],"domain_scores_gemma":[0.9998149,0.00003948471,0.00002927708,0.00001721991,0.00008371853,0.00001540829],"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":[0.001486878,0.0005319828,0.0307968,0.0002252467,0.0001259293,0.000455876,0.0001931031,0.1052802,0.07045902,0.001321045,0.006686436,0.7824375],"study_design_scores_gemma":[0.00001564368,0.0001426432,0.01253772,0.00001856809,0.00002521621,0.0001082999,0.00009156938,0.972443,0.01322894,0.0001852787,0.001187274,0.0000159077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7720993,0.0009933792,0.2194195,0.0002094197,0.0001809599,0.0001779665,0.0007130981,0.002185775,0.004020639],"genre_scores_gemma":[0.8922774,0.0004669063,0.09865849,0.00006880001,0.00005410738,0.00009597491,0.002069767,0.00007271249,0.006235759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01091738,"threshold_uncertainty_score":0.02170765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01655331091506265,"score_gpt":0.2304747062278643,"score_spread":0.2139213953128016,"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."}}