{"id":"W2122975383","doi":"10.3141/2458-04","title":"Method for Road Lighting Audit and Safety Screening at Urban Intersections","year":2014,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Concordia University; McGill University; Polytechnique Montréal","funders":"Ministère des Transports","keywords":"Illuminance; Intersection (aeronautics); Transport engineering; Visibility; Sample (material); Traffic flow (computer networking); Audit; Geography; Computer science; Environmental science; Engineering; Meteorology; Business; Optics; Computer security","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009159116,0.0002030753,0.0003540358,0.0003669497,0.001500806,0.00007638115,0.0005774585,0.0001455006,0.0009446386],"category_scores_gemma":[0.0002009399,0.0001526963,0.0002643041,0.000731938,0.0005246256,0.0005541873,0.00001996889,0.001172966,0.00002758741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004673728,"about_ca_system_score_gemma":0.00007703336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007418658,"about_ca_topic_score_gemma":0.03624168,"domain_scores_codex":[0.9944804,0.001060912,0.001004921,0.0004026226,0.002109297,0.0009418599],"domain_scores_gemma":[0.9972161,0.001292193,0.0004034745,0.0003073949,0.0002598657,0.0005209768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001968234,0.0001443757,0.9246454,0.0001492144,0.00008691272,0.000008158226,0.004760544,0.001084203,0.008403648,0.0007898953,0.009556679,0.04840274],"study_design_scores_gemma":[0.001321076,0.0006731871,0.8953259,0.0001385732,0.00003614284,8.778787e-7,0.0007473552,0.001056656,0.0009213962,0.0008992945,0.09873063,0.0001489086],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9301897,0.0000614269,0.06094483,0.006907751,0.0002284099,0.000958289,0.00003307095,0.00001921264,0.0006572896],"genre_scores_gemma":[0.9692315,0.0003688949,0.02769979,0.0001321764,0.0002385154,0.0000544896,0.00001394664,0.00004814884,0.002212538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08917395,"threshold_uncertainty_score":0.9999686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06906006062572542,"score_gpt":0.3845223822575828,"score_spread":0.3154623216318574,"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."}}