{"id":"W4412989788","doi":"10.3390/wevj16080441","title":"Enhanced Real-Time Method Traffic Light Signal Color Recognition Using Advanced Convolutional Neural Network Techniques","year":2025,"lang":"en","type":"article","venue":"World Electric Vehicle Journal","topic":"Image Enhancement Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Convolutional neural network; Traffic signal; Computer science; Pattern recognition (psychology); Artificial intelligence; Artificial neural network; SIGNAL (programming language); Real-time computing","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":[0.0003553559,0.0008415964,0.0004715201,0.0006772064,0.0001767483,0.0005435657,0.001027956,0.000432975,0.00199063],"category_scores_gemma":[0.0006727227,0.00023661,0.0004808971,0.0003725303,0.0001845727,0.0006915399,0.0006088217,0.000719864,0.001293182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006164763,"about_ca_system_score_gemma":0.0007833242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009853005,"about_ca_topic_score_gemma":0.01579571,"domain_scores_codex":[0.9997876,0.00001835515,0.00000716092,0.00007172926,0.00006976273,0.00004546714],"domain_scores_gemma":[0.9997688,0.00002708115,0.00002046338,0.00003774079,0.0001312698,0.0000146714],"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":[0.0004930672,0.0003141743,0.004476083,0.0001533836,0.0001592236,0.0001446683,0.00006297918,0.1371827,0.1059502,0.002008952,0.008931147,0.7401235],"study_design_scores_gemma":[0.00001052862,0.00007505513,0.001598683,0.00001022251,0.00003337282,0.00007254273,0.00000998607,0.9699167,0.02520952,0.0004239204,0.002625949,0.00001353138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1728908,0.001175766,0.807773,0.0002624792,0.0003024059,0.0001202887,0.0007611455,0.009824883,0.006889265],"genre_scores_gemma":[0.7702836,0.0006053793,0.2076969,0.0002705975,0.00007491426,0.0001009088,0.002470654,0.000310128,0.01818681],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009853005,"threshold_uncertainty_score":0.01959133,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108552735704038,"score_gpt":0.2805178789149063,"score_spread":0.2696626053445025,"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."}}