{"id":"W2570578268","doi":"10.1061/jtepbs.0000018","title":"Sight-Distance Requirements for Left-Turning Vehicles at Two-Way Stop-Controlled Intersections","year":2017,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Federal Highway Administration","keywords":"Intersection (aeronautics); Sight; Global Positioning System; Position (finance); Computer science; Acceleration; Geometric design; Transport engineering; Simulation; Engineering; Telecommunications","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":[0.00037856,0.0001964429,0.0004749126,0.0001297175,0.00024572,0.00008498825,0.0002198845,0.00007683886,0.000008857586],"category_scores_gemma":[0.00003374578,0.0001759278,0.0002638855,0.00003581496,0.00001714116,0.0004067146,0.000002478873,0.0001595792,0.000002686501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001588265,"about_ca_system_score_gemma":0.0000168521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005688202,"about_ca_topic_score_gemma":0.0000641651,"domain_scores_codex":[0.9985611,0.00001126601,0.0008327353,0.0001157064,0.0002392037,0.0002399163],"domain_scores_gemma":[0.9990715,0.00007805959,0.0003895085,0.0002037176,0.0001408344,0.0001163914],"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":[0.0001544897,0.00001716875,0.001968556,0.0002653303,0.0003138272,0.00001461824,0.0008871038,0.9864401,0.008894108,0.0002313514,0.0006378543,0.0001755301],"study_design_scores_gemma":[0.0211607,0.0003021918,0.06842697,0.002495912,0.0006376046,0.0001295255,0.0007391224,0.7597532,0.004330729,0.00001514749,0.1409629,0.001045993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6713234,0.001090782,0.3200453,0.00005289976,0.006627858,0.0004389147,0.00006309643,0.0001653555,0.0001924762],"genre_scores_gemma":[0.9983066,0.00005429167,0.0007126402,0.000002579689,0.0005393545,0.0000291523,0.00001365213,0.00004760471,0.0002941141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3269832,"threshold_uncertainty_score":0.7174127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01738916723811289,"score_gpt":0.2425701073090631,"score_spread":0.2251809400709502,"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."}}