{"id":"W4407129270","doi":"10.1109/icit63607.2024.10860084","title":"Traffic Sign Recognition System","year":2024,"lang":"en","type":"article","venue":"","topic":"Vehicle License Plate Recognition","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Traffic sign recognition; Sign (mathematics); Traffic sign; Artificial intelligence; Speech recognition; Computer vision; Mathematics","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":[0.0003617552,0.001007353,0.0008639885,0.001224585,0.0007454256,0.001497907,0.001071403,0.0009271257,0.0553268],"category_scores_gemma":[0.001140596,0.0001839202,0.000488779,0.0006934924,0.0002118088,0.001214809,0.00118689,0.0008802409,0.06312351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008272377,"about_ca_system_score_gemma":0.001500904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006997394,"about_ca_topic_score_gemma":0.006026668,"domain_scores_codex":[0.9995106,0.00002916341,0.00003970579,0.0001576088,0.0001636558,0.00009917369],"domain_scores_gemma":[0.9995505,0.00002155954,0.00002275463,0.00008338416,0.0002836417,0.00003815127],"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":[0.0009437767,0.0003619598,0.01088259,0.0005301954,0.00008618007,0.0008962023,0.0001084295,0.01156102,0.04188141,0.004903735,0.4145127,0.5133318],"study_design_scores_gemma":[0.0002624211,0.0006597554,0.01638191,0.0002323778,0.0002205607,0.002344673,0.0002225285,0.2786963,0.0725275,0.006142511,0.6220412,0.0002683175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1558053,0.001852048,0.2439503,0.002787925,0.004629822,0.003179245,0.08192767,0.1611042,0.3447636],"genre_scores_gemma":[0.5218856,0.001234622,0.08185759,0.002577648,0.0005579531,0.001452991,0.2092117,0.001897863,0.1793242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0553268,"threshold_uncertainty_score":0.1850866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01371441931846102,"score_gpt":0.1916955031022398,"score_spread":0.1779810837837788,"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."}}