{"id":"W4389474314","doi":"10.1109/mits.2023.3334769","title":"Sight Distance of Automated Vehicles Considering Highway Vertical Alignments and Its Implications for Speed Limits","year":2023,"lang":"en","type":"article","venue":"IEEE Intelligent Transportation Systems Magazine","topic":"Traffic and Road Safety","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Lidar; Sight; Design speed; Geometric design; Computer science; Speed limit; Consistency (knowledge bases); Tangent; Simulation; Algorithm; Artificial intelligence; Geometry; Mathematics; Remote sensing; Engineering; Physics; Geology; Transport engineering","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":[0.0001223748,0.0001670165,0.0002747383,0.0001127875,0.00005685854,0.00001717593,0.00008147328,0.00008983885,0.000004010412],"category_scores_gemma":[0.00001135754,0.0001637797,0.00006204536,0.0002791987,0.0000331302,0.00009891811,0.0000014518,0.0000561773,0.00004351326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003321772,"about_ca_system_score_gemma":0.00001464333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003540074,"about_ca_topic_score_gemma":0.00002272813,"domain_scores_codex":[0.9987847,0.00001422128,0.0006212172,0.0002081372,0.0001403572,0.0002313936],"domain_scores_gemma":[0.9994379,0.0001676655,0.0000488537,0.0001352091,0.0001133378,0.00009698132],"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":[0.0000783034,0.0000805508,0.00630543,0.002241947,0.0003207106,0.00001054351,0.001912835,0.6041684,0.369841,0.009394245,0.00425417,0.001391906],"study_design_scores_gemma":[0.001030857,0.00008661873,0.2121293,0.0004586332,0.0001411209,0.000007455017,0.0002580937,0.6284006,0.1460877,0.00009040297,0.01079671,0.0005124844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9358295,0.0006934847,0.0594702,0.0001281671,0.0008016379,0.0008311892,0.0005033946,0.001613715,0.000128745],"genre_scores_gemma":[0.9991298,0.0002897845,0.00009259109,0.000005781484,0.00004423263,0.00007267009,0.0001741911,0.00004055955,0.0001503766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2237533,"threshold_uncertainty_score":0.6678742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03707083538854956,"score_gpt":0.2698907325220887,"score_spread":0.2328198971335391,"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."}}