{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007656644,0.0000838472,0.00006986573,0.000096201,0.00001692732,0.00007280111,0.00002947799,0.00006578521,0.0002348402],"category_scores_gemma":[0.000002368791,0.00008065097,0.00003886952,0.000173255,0.000004768009,0.000162679,0.000003219191,0.0000990928,0.005025488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007981998,"about_ca_system_score_gemma":0.000005284558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001811012,"about_ca_topic_score_gemma":0.000003296155,"domain_scores_codex":[0.9995509,0.00001038808,0.0001197142,0.000109552,0.00007572128,0.0001337057],"domain_scores_gemma":[0.9998369,0.00004461788,0.000003173851,0.00006010728,0.0000144436,0.00004074667],"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":[0.000002488914,0.000006370861,7.84058e-7,0.001013767,0.0000651071,0.00007095578,0.0001569507,0.00690777,0.006856405,0.000295402,0.005688116,0.9789359],"study_design_scores_gemma":[0.0001018041,0.00001826076,0.00002718836,0.000348395,0.00003550886,0.0001519329,0.0002219868,0.9791694,0.01421774,0.00007889156,0.005403786,0.0002251202],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.860909,0.00056692,0.006691634,0.00004062495,0.001222628,0.0001755153,0.00002093498,0.008208895,0.1221638],"genre_scores_gemma":[0.9990545,0.0000345166,0.0004883126,0.000008622483,0.0001674921,0.00002079591,0.00003626435,0.00003572844,0.0001537938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9787108,"threshold_uncertainty_score":0.9957492,"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."}}