{"id":"W4416726607","doi":"10.1109/mwscas53549.2025.11244452","title":"Real-Time Vehicle Speed Detection Using Existing Traffic Camera Infrastructure with OpenGL ES","year":2025,"lang":"","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"OpenGL; Key (lock); Pixel; Code (set theory); Raspberry pi; Track (disk drive); Object (grammar); Image processing","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001398831,0.0005324375,0.0006708434,0.0003818905,0.0009075547,0.001075558,0.0009052712,0.0002650468,0.0001249834],"category_scores_gemma":[0.0001854909,0.0004652093,0.0001439499,0.002591945,0.0002103567,0.0009978354,0.0003667605,0.00058226,0.00002946307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002480533,"about_ca_system_score_gemma":0.0006023063,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006077189,"about_ca_topic_score_gemma":0.0001782142,"domain_scores_codex":[0.9961358,0.0006595303,0.0006973557,0.001191026,0.000485467,0.0008308408],"domain_scores_gemma":[0.997692,0.0004521676,0.0003322791,0.0009817586,0.0003728623,0.0001688868],"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":[0.0001593927,0.00008148646,0.00333911,0.0001562139,0.0002023788,0.00007109925,0.001290477,0.1372593,0.07287681,0.0009736886,0.00004964586,0.7835404],"study_design_scores_gemma":[0.001111453,0.0002536014,0.02541132,0.0004145967,0.00008012802,0.00007543292,0.0002034405,0.9505032,0.0205183,0.0004548527,0.0003573545,0.0006163353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6695911,0.00009588125,0.3229684,0.0001689043,0.0008017932,0.000346651,0.000002116901,0.0002893271,0.005735856],"genre_scores_gemma":[0.8469167,0.00003858493,0.1517053,0.000172927,0.000195588,0.000002843723,0.000001455064,0.00003128221,0.0009352991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8132438,"threshold_uncertainty_score":0.9999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02640937640465358,"score_gpt":0.30602067323899,"score_spread":0.2796112968343364,"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."}}