{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001987786,0.000513742,0.0005691799,0.001033537,0.0004340665,0.0009546393,0.0009014364,0.0006763252,0.01248207],"category_scores_gemma":[0.000565148,0.0001623482,0.0002754781,0.0005503842,0.0002338416,0.0004570375,0.000309042,0.0003939111,0.004826269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460932,"about_ca_system_score_gemma":0.0005526188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797905,"about_ca_topic_score_gemma":0.001600459,"domain_scores_codex":[0.9996536,0.0000212514,0.00002213022,0.0001192604,0.000152805,0.00003093768],"domain_scores_gemma":[0.9996654,0.0000330043,0.00002969791,0.00002241449,0.0002371002,0.00001242526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006424324,0.0002870944,0.001667573,0.00051832,0.00005429751,0.0005543788,0.0001791593,0.03127725,0.1700382,0.003635126,0.03292338,0.7582229],"study_design_scores_gemma":[0.0001282662,0.0005248322,0.006994689,0.000103186,0.0001214474,0.001213934,0.00009140486,0.7793387,0.1338173,0.002369394,0.07516945,0.0001273598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04372733,0.000784474,0.8866067,0.0004835533,0.0007086466,0.0007041019,0.001155167,0.02912435,0.03670561],"genre_scores_gemma":[0.7009192,0.001124891,0.2392533,0.0008297517,0.0003689262,0.001141553,0.002773787,0.0004444324,0.0531442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01248207,"threshold_uncertainty_score":0.04175669,"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."}}