{"id":"W4250118282","doi":"10.32920/ryerson.14656848","title":"Modelling of Three-Dimensional Intersection Sight Distance","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Autonomous Vehicle Technology and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Intersection (aeronautics); Sight; Tangent; Object (grammar); Computer science; Geometry; Mathematics; Computer vision; Artificial intelligence; Engineering; Physics; Transport engineering; Optics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005999566,0.0008493391,0.0007936732,0.001195264,0.0009102346,0.002934819,0.002552886,0.002090781,0.006493331],"category_scores_gemma":[0.002310107,0.0007980033,0.001491256,0.001076927,0.000905221,0.001958817,0.001903411,0.001418534,0.001517114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002322993,"about_ca_system_score_gemma":0.002144905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03057623,"about_ca_topic_score_gemma":0.01719419,"domain_scores_codex":[0.9993826,0.0001036542,0.00003959797,0.0001213104,0.0002136866,0.0001391112],"domain_scores_gemma":[0.9990181,0.0003281043,0.0001557186,0.00008777325,0.0003371338,0.00007311634],"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":[0.0000186656,0.00002483236,0.001062773,0.00003911039,0.00000801604,0.0001034819,0.0001027546,0.981169,0.0006173112,0.01340493,0.0003839919,0.003065045],"study_design_scores_gemma":[0.000004931719,0.00001512436,0.0002898432,0.00001675909,0.000007060604,0.00003476587,0.00004571636,0.9946538,0.00028105,0.002114239,0.002521425,0.00001530281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1633933,0.0009374313,0.7413636,0.0005511644,0.0002079893,0.0003332998,0.001952643,0.001084257,0.09017635],"genre_scores_gemma":[0.919214,0.0009163792,0.04950865,0.00006370506,0.00003684622,0.0003156632,0.001112261,0.000199345,0.0286332],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03057623,"threshold_uncertainty_score":0.0607965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881907875091973,"score_gpt":0.1984335859530444,"score_spread":0.1796145072021247,"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."}}