{"id":"W2044809403","doi":"10.1139/l09-092","title":"Simulated safety performance of rear-end and angled vehicle interactions at isolated intersections","year":2009,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Traffic control and management","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Intersection (aeronautics); Percentile; Automotive engineering; Traffic volume; Engineering; Transport engineering; Simulation; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0005070514,0.0005574774,0.0005991486,0.0005935967,0.0003362239,0.0005853653,0.001155858,0.0007606945,0.001842715],"category_scores_gemma":[0.001777268,0.0003444055,0.0005339378,0.0004316044,0.0006645898,0.0005521399,0.0006563863,0.0005635924,0.0001914129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614605,"about_ca_system_score_gemma":0.001501842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02990377,"about_ca_topic_score_gemma":0.01116003,"domain_scores_codex":[0.999668,0.00006752348,0.0000131088,0.00005443856,0.00007757331,0.0001193305],"domain_scores_gemma":[0.9987671,0.0005141724,0.0002297426,0.0001119123,0.0002336054,0.0001434589],"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":[0.00005678098,0.00002889419,0.002038803,0.000004716329,0.000008499997,0.00001906626,0.00001110619,0.9966686,0.0005747192,0.0001924218,0.00002860474,0.0003677487],"study_design_scores_gemma":[0.000009977974,0.00007495152,0.001074483,0.000001780539,0.000007933028,0.000005282964,0.00001841804,0.9979657,0.0006746277,0.000105104,0.00005463312,0.000007158874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9868263,0.00002526618,0.01051703,0.00003197986,0.000008555295,0.00002963922,0.0002585619,0.00008497761,0.002217666],"genre_scores_gemma":[0.9983296,0.00002242533,0.0009253983,0.000006369969,0.000001113997,0.00002279851,0.0001551123,0.000006344663,0.0005309295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02990377,"threshold_uncertainty_score":0.05945945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003772771314463685,"score_gpt":0.1643161585964058,"score_spread":0.1605433872819421,"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."}}