{"id":"W4406709734","doi":"10.1155/atr/1239908","title":"Investigating the Safety of Run‐Off‐the‐Road Vehicles on Vertical and Horizontal Curves With the Foreslope Using Multiple Regression Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Traffic and Road Safety","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Regression analysis; Horizontal and vertical; Regression; Transport engineering; Computer science; Engineering; Environmental science; Statistics; Geology; Mathematics; Geodesy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001369318,0.001128832,0.0006587508,0.001536914,0.0003297353,0.000728765,0.0006204335,0.0004768562,0.001011835],"category_scores_gemma":[0.004103236,0.0003453176,0.002185885,0.001090584,0.0002623011,0.0008364776,0.000563446,0.0006834157,0.0003712033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006555539,"about_ca_system_score_gemma":0.0007031692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01959725,"about_ca_topic_score_gemma":0.009119711,"domain_scores_codex":[0.9989851,0.0001914399,0.00007039469,0.0002795221,0.000329037,0.000144525],"domain_scores_gemma":[0.9978236,0.001094532,0.000431268,0.0001197143,0.0004783068,0.00005259012],"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":[0.0006380008,0.0003237817,0.2148567,0.0002688171,0.0005125894,0.0005225897,0.0005215853,0.6965896,0.01289307,0.001078678,0.0003566166,0.07143789],"study_design_scores_gemma":[0.00001287765,0.0008589014,0.07660116,0.00003116929,0.0001377938,0.00008761733,0.0004062949,0.912652,0.008000559,0.0003841735,0.0007669894,0.00006042918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9709703,0.0002192571,0.02696156,0.00004688955,0.00001389869,0.00005078752,0.0002691579,0.0001628238,0.001305326],"genre_scores_gemma":[0.9950503,0.0001376394,0.00374262,0.000003781734,0.00000322919,0.00003102606,0.0003509116,0.00001699452,0.0006635613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01959725,"threshold_uncertainty_score":0.0389663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007738325873074685,"score_gpt":0.2341267001640772,"score_spread":0.2263883742910026,"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."}}