{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006485506,0.000449477,0.001312126,0.0008908975,0.0001968586,0.00004228866,0.0005305769,0.0003391731,0.0002168167],"category_scores_gemma":[0.000009349637,0.0004722804,0.001072025,0.004028954,0.00003533839,0.0001951973,0.00004941411,0.000169826,0.00004350317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721997,"about_ca_system_score_gemma":0.00006704673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004403033,"about_ca_topic_score_gemma":0.001205342,"domain_scores_codex":[0.9966881,0.00009134761,0.001699744,0.0005761764,0.0002910392,0.0006536114],"domain_scores_gemma":[0.998325,0.0001482348,0.000250778,0.0007968153,0.0003548457,0.0001243287],"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":[0.0006748796,0.0002473205,0.01713033,0.04083708,0.01619452,0.000003405434,0.001711906,0.8865705,0.004692748,0.005296934,0.0008616712,0.02577869],"study_design_scores_gemma":[0.000943381,0.0001096317,0.01373104,0.0006942859,0.003998345,2.998194e-7,0.002056453,0.9704951,0.00376785,0.000004975078,0.003781948,0.0004167089],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9513264,0.008067105,0.02104301,0.0002371865,0.005264662,0.001491501,0.0002589995,0.0004920293,0.01181916],"genre_scores_gemma":[0.9953791,0.0001817838,0.0001343922,0.00002223171,0.0001494699,0.00008378006,0.00003258543,0.00005024546,0.00396641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08392457,"threshold_uncertainty_score":0.9997729,"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."}}