{"id":"W4408358755","doi":"10.1109/icses63760.2024.10910452","title":"Image Processing Based Automatic Traffic Control System","year":2024,"lang":"en","type":"article","venue":"","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Computer science; Image processing; Automatic control; Computer vision; Artificial intelligence; Image (mathematics); Engineering; Control engineering","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":[0.0001075328,0.0001114233,0.0001228796,0.0001037829,0.00002728367,0.0001761782,0.00004504859,0.00005449879,0.0001158455],"category_scores_gemma":[0.000004766434,0.00009931208,0.00004454362,0.000182251,0.000008856548,0.0002067434,0.000002062426,0.0001017319,0.0007271019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009924309,"about_ca_system_score_gemma":0.00002278977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001075181,"about_ca_topic_score_gemma":0.000001622239,"domain_scores_codex":[0.9994153,0.00001410715,0.0001687456,0.0001178225,0.000107018,0.0001770509],"domain_scores_gemma":[0.9997871,0.00006217216,0.000007289587,0.00007471324,0.00002037779,0.00004834486],"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":[0.000007322193,0.00003630755,0.000008252659,0.02539408,0.0001655235,0.000366132,0.0004211756,0.1115549,0.05858725,0.0002100847,0.002805704,0.8004432],"study_design_scores_gemma":[0.0002298922,0.000007101614,0.00003519349,0.000529318,0.0000390932,0.00003471825,0.00007086299,0.9974762,0.001253853,0.00000263184,0.0001949974,0.0001261589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6377064,0.001144966,0.3073204,0.0001887869,0.0006699044,0.0005409092,0.0000228354,0.02008854,0.03231721],"genre_scores_gemma":[0.9953368,0.000001009827,0.004450425,0.00002120344,0.00007222049,0.00003397487,0.000006970515,0.00004606554,0.00003131559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8859212,"threshold_uncertainty_score":0.9345666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005538201678383034,"score_gpt":0.1975430351912401,"score_spread":0.192004833512857,"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."}}