{"id":"W4382982125","doi":"10.3390/app13137810","title":"A Microscopic Traffic Model Considering Driver Reaction and Sensitivity","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Traffic control and management","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Headway; Sensitivity (control systems); Platoon; Acceleration; Traffic flow (computer networking); Simulation; Exponent; String (physics); Computer science; Traffic model; Microscopic traffic flow model; Real-time computing; Traffic generation model; Mathematics; Engineering; Physics; Artificial intelligence; Computer network; Electronic engineering; Classical mechanics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001927998,0.00006206639,0.0000701762,0.00007192183,0.0001057058,0.00003996418,0.00002555468,0.00001850168,0.000001414277],"category_scores_gemma":[0.000002590348,0.0000582903,0.0000102284,0.0001881535,0.00008347281,0.00006339839,0.00002429767,0.00004018043,0.00002524736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001022307,"about_ca_system_score_gemma":0.000006739546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003197939,"about_ca_topic_score_gemma":0.00004459266,"domain_scores_codex":[0.9995458,0.000003342045,0.00006055553,0.0001449942,0.00008551597,0.000159849],"domain_scores_gemma":[0.9998726,0.00003505457,0.000007722459,0.00005289813,0.000003151826,0.00002858225],"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":[9.579688e-7,0.000002721383,0.00001317027,0.00001676739,0.00000621781,0.000003897983,0.0003063923,0.7804505,0.1963913,0.001668825,0.0005728092,0.0205665],"study_design_scores_gemma":[0.0001513091,0.000004950343,0.003438032,0.000005555426,0.000006682829,0.000002543759,0.0002518379,0.9941223,0.00109246,0.0002496425,0.000577465,0.00009718211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.993564,0.0000263345,0.001311375,0.00008030782,0.00009792911,0.00009685851,9.736876e-7,0.0005227083,0.004299524],"genre_scores_gemma":[0.9993657,0.00003517583,0.0004777425,0.00003171419,0.00001528552,0.00001133299,6.337214e-7,0.000004591443,0.00005780981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2136719,"threshold_uncertainty_score":0.237701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166465993439332,"score_gpt":0.2150371285696991,"score_spread":0.1983905292257659,"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."}}