{"id":"W4411687720","doi":"10.1109/ojits.2025.3583686","title":"Time-Series Forecasting for Peak Hour Traffic Accidents","year":2025,"lang":"en","type":"article","venue":"IEEE Open Journal of Intelligent Transportation Systems","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; University of Regina","funders":"","keywords":"Series (stratigraphy); Transport engineering; Computer science; Statistics; Environmental science; Engineering; Mathematics; Geology","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":[0.0005362235,0.0001763951,0.0004157796,0.000187136,0.00009122396,0.0001379873,0.0004544555,0.00008996915,0.0000274348],"category_scores_gemma":[0.00001510423,0.000154009,0.0001865192,0.0002458991,0.0000218662,0.0004827293,0.000002491548,0.0001520546,0.00001335407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007682107,"about_ca_system_score_gemma":0.00007537327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005925363,"about_ca_topic_score_gemma":0.000027909,"domain_scores_codex":[0.9983727,0.00002781686,0.001076567,0.0001193272,0.0002006561,0.0002028798],"domain_scores_gemma":[0.9991922,0.00009575034,0.0002293054,0.0001133116,0.0002855934,0.00008382402],"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":[0.0002598305,0.00003979139,0.0005662828,0.000301728,0.0003243633,0.00001913191,0.001560286,0.9763494,0.0003255585,0.0001451409,0.008245942,0.01186252],"study_design_scores_gemma":[0.01896106,0.002910425,0.05196957,0.02378886,0.003027523,0.0007224219,0.03964874,0.3943278,0.07338542,0.0003971184,0.3858046,0.005056511],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6862817,0.001449673,0.3033214,0.00009976917,0.006207642,0.001269503,0.0000681866,0.0001068565,0.001195355],"genre_scores_gemma":[0.9971281,0.00009892668,0.001017439,0.0000124847,0.0001562209,0.00002823165,0.00001926983,0.00003199135,0.001507279],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5820217,"threshold_uncertainty_score":0.6280304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02910453286781394,"score_gpt":0.2680488526702037,"score_spread":0.2389443198023897,"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."}}