{"id":"W2999305622","doi":"10.1155/2020/2797420","title":"An Improved Car-Following Speed Model considering Speed of the Lead Vehicle, Vehicle Spacing, and Driver’s Sensitivity to Them","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic control and management","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Sensitivity (control systems); Acceleration; Benchmark (surveying); Simulation; Automotive engineering; Engineering; Calibration; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001138172,0.0001117607,0.000232302,0.00003382826,0.00003601428,0.00001361313,0.00006113941,0.00002886032,0.000001200379],"category_scores_gemma":[0.00001478059,0.00009387929,0.00009989591,0.0001109401,0.00001406311,0.0003100772,0.000003328677,0.0001414426,3.08255e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002466495,"about_ca_system_score_gemma":0.00001613258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008178441,"about_ca_topic_score_gemma":0.00009578031,"domain_scores_codex":[0.9992688,0.00001561607,0.000318677,0.0001016084,0.0001701459,0.0001251628],"domain_scores_gemma":[0.9996189,0.00002589081,0.0001099938,0.00008670953,0.00005936688,0.00009908481],"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":[0.00004774716,0.000007071569,0.000492582,0.00003258859,0.00002765422,0.0000106272,0.002164437,0.5449245,0.4492085,0.00001704516,0.000002826616,0.003064429],"study_design_scores_gemma":[0.002908341,0.0001914999,0.1866121,0.0001431667,0.0002299954,0.000005281985,0.002058427,0.7386872,0.06872272,0.0001158794,0.00006913941,0.0002563128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844135,0.00004469741,0.01475424,0.0003835445,0.0001584151,0.0001701232,0.000007525235,0.00003894386,0.00002899157],"genre_scores_gemma":[0.9960793,0.0000186794,0.003731094,0.0001022816,0.0000456383,4.090393e-7,0.000001125147,0.00001794422,0.000003496598],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3804858,"threshold_uncertainty_score":0.3828286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0123632466676497,"score_gpt":0.2146247876877087,"score_spread":0.202261541020059,"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."}}