{"id":"W3195080669","doi":"10.5383/jttm.03.02.002","title":"Measuring Vehicle Speeds, Compliance Rates, and Braking Reaction Times at Level Crossings Using Fixed and Moving Driving Simulators","year":2012,"lang":"en","type":"article","venue":"International Journal of Traffic and Transportation Management","topic":"Traffic and Road Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Driving simulator; Simulation; Computer science; Automotive engineering; Blueprint; Compliance (psychology); Driving simulation; Engineering; Psychology; Mechanical engineering","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":[0.0002201462,0.0001255776,0.0001419836,0.0001444365,0.0001236474,0.00006895154,0.00006239025,0.00003821452,0.000008672033],"category_scores_gemma":[0.000003444087,0.0001245206,0.0000376849,0.00005387456,0.00004200856,0.0005656458,0.000009803297,0.0001072998,6.855536e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000846945,"about_ca_system_score_gemma":0.000004818704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005493852,"about_ca_topic_score_gemma":0.00001355977,"domain_scores_codex":[0.9991348,0.00001098946,0.0003453336,0.0001010569,0.0002579872,0.0001498504],"domain_scores_gemma":[0.9996405,0.00003555786,0.0001343927,0.00003657175,0.00006327417,0.00008965865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001753572,0.0001039384,0.1723658,0.0004028792,0.0009982196,0.00008538611,0.005853788,0.6454642,0.006456426,0.001112332,0.0000949817,0.1668867],"study_design_scores_gemma":[0.001094405,0.00001397781,0.8852955,0.0003826252,0.0001142627,0.00007383279,0.0005419383,0.110684,0.0003322796,0.00001590335,0.001258221,0.0001930493],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885167,0.001092531,0.009643713,0.00005399705,0.0004616464,0.00006743277,0.000005626736,0.00003676342,0.0001215865],"genre_scores_gemma":[0.9965175,0.0004182885,0.002856071,0.00001912864,0.0001147836,5.993542e-7,0.000005996094,0.00001756757,0.00005000138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7129297,"threshold_uncertainty_score":0.5077802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513831130581906,"score_gpt":0.2656689089889848,"score_spread":0.2205305976831658,"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."}}