{"id":"W579905602","doi":"","title":"Driver Response Analysis in Car-Following Scenarios Using Differential Global Positioning System","year":2006,"lang":"en","type":"article","venue":"Transportation Research Board 85th Annual MeetingTransportation Research Board","topic":"Traffic control and management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Headway; Simulation; Advanced driver assistance systems; Acceleration; Computer science; Global Positioning System; Speed limit; Driving simulator; Engineering; Automotive engineering; Transport engineering; Aerospace engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004588176,0.0005115079,0.0008056671,0.002771081,0.0007490898,0.0003225683,0.0005949562,0.0003409305,0.0001041282],"category_scores_gemma":[0.00007617899,0.0005723677,0.0005433331,0.00645704,0.0002736437,0.0007333622,0.00001725053,0.001232421,0.00004421799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429382,"about_ca_system_score_gemma":0.0002687489,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02759437,"about_ca_topic_score_gemma":0.05407457,"domain_scores_codex":[0.9904189,0.001299563,0.001497431,0.00104718,0.003682677,0.002054248],"domain_scores_gemma":[0.9972537,0.0005866425,0.0001136831,0.0005674714,0.001036857,0.0004416378],"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":[0.001760657,0.0002401647,0.1536057,0.0005896486,0.0006021113,0.001036576,0.002501359,0.8239756,0.01128177,0.003306164,0.0004571175,0.0006431426],"study_design_scores_gemma":[0.002516189,0.0001459676,0.931347,0.0003302589,0.000338403,5.541791e-7,0.005658347,0.05807261,0.0003330266,0.0001095717,0.0005647366,0.0005833889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862264,0.0002638499,0.009594383,0.0002011752,0.0003036553,0.00148718,0.0004271803,0.0006695042,0.0008266395],"genre_scores_gemma":[0.9973379,0.00003025092,0.001361263,0.000009884223,0.0001773798,0.0002837026,0.0005459383,0.00008953168,0.0001641165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7777413,"threshold_uncertainty_score":0.9996728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959377204840644,"score_gpt":0.3106612583238988,"score_spread":0.2910674862754923,"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."}}