{"id":"W2886867881","doi":"10.1177/0361198118774184","title":"Signal Priority Request Delay Modeling and Mitigation for Emergency Vehicles in Connected Vehicle Environment","year":2018,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Preemption; Emergency vehicle; SIGNAL (programming language); Computer science; Real-time computing; Reliability (semiconductor); Control (management); Computer network","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":[0.0003000128,0.0006364307,0.0002681429,0.0004271896,0.0002700859,0.0004426021,0.0006082591,0.0004655196,0.0007637754],"category_scores_gemma":[0.000984451,0.0001947203,0.0003731615,0.0002739561,0.0002769304,0.0007198913,0.000373174,0.0004769046,0.00009169192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000840159,"about_ca_system_score_gemma":0.0008865736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010218,"about_ca_topic_score_gemma":0.005045776,"domain_scores_codex":[0.9998432,0.00002659727,0.000006324803,0.00003896957,0.00004393349,0.00004081811],"domain_scores_gemma":[0.9996935,0.000119284,0.0000638526,0.00001479194,0.00009136611,0.0000171628],"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":[0.00004691977,0.00002635299,0.0009006789,0.00002445817,0.000007054763,0.00005186374,0.00003371219,0.9879739,0.003287151,0.002892264,0.0001234847,0.004632037],"study_design_scores_gemma":[0.000001274998,0.0000143871,0.0001157226,9.077825e-7,0.00000241858,0.000005164116,0.000008122551,0.9989449,0.0004506689,0.0003764426,0.00007778105,0.000002132041],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2733809,0.0003153236,0.7216068,0.0001292986,0.00005195328,0.00005151005,0.00007104896,0.0001715766,0.004221601],"genre_scores_gemma":[0.9943576,0.0001158575,0.004416444,0.00000860999,0.000007506709,0.00001766739,0.00002717263,0.000009361005,0.001039818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01010218,"threshold_uncertainty_score":0.02008677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04457933029238543,"score_gpt":0.3151251704155865,"score_spread":0.2705458401232011,"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."}}