{"id":"W7131250334","doi":"10.1109/icoiics67115.2025.11390637","title":"Analysis of Smart Traffic Clearance System for Emergency Vehicle Services","year":2025,"lang":"","type":"article","venue":"","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Horizon College and Seminary","funders":"","keywords":"Population; Smart city; Traffic system; Emergency vehicle; Emergency response; Simple (philosophy); Road traffic; Traffic conflict","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":[0.0002985305,0.0004804605,0.0004051644,0.0006521732,0.000430292,0.0008091878,0.000441618,0.0004563105,0.008406942],"category_scores_gemma":[0.0008295639,0.0001518456,0.0005898215,0.0002939188,0.0002161367,0.0006052505,0.0002416248,0.0002878005,0.0009226509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047757,"about_ca_system_score_gemma":0.0006717303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01007898,"about_ca_topic_score_gemma":0.00392052,"domain_scores_codex":[0.9996185,0.00005068303,0.0000138244,0.0000807246,0.0001480707,0.00008811494],"domain_scores_gemma":[0.9996564,0.00008386403,0.00003582425,0.00002167036,0.0001856294,0.00001644546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006620534,0.0001538845,0.01740387,0.000276327,0.0001130043,0.0007414045,0.0002055539,0.8795263,0.02796867,0.01499675,0.007434351,0.05051778],"study_design_scores_gemma":[0.000008308618,0.00006967118,0.00284534,0.000004929341,0.00001549837,0.00004408903,0.00003663896,0.993794,0.001619185,0.0006766309,0.0008780895,0.00000757915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6810805,0.0006579235,0.2661042,0.0007023877,0.0002216935,0.0002987983,0.001154801,0.002186489,0.04759308],"genre_scores_gemma":[0.9950989,0.00005989392,0.001988206,0.00002041536,0.000009515935,0.00003220523,0.0002009909,0.00002300305,0.002566894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007898,"threshold_uncertainty_score":0.02812403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006780885688914585,"score_gpt":0.2323833024095759,"score_spread":0.2256024167206613,"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."}}