{"id":"W4224263641","doi":"10.1061/jtepbs.0000690","title":"Developing a Risk Assessment Model for a Highway Site during the Winter Season and Quantifying the Functional Loss in Terms of Traffic Reduction Caused by Winter Hazards Conditions","year":2022,"lang":"en","type":"article","venue":"Journal of Transportation Engineering Part A Systems","topic":"Traffic and Road Safety","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Environmental science; Snow; Truck; Traffic volume; Meteorology; Reduction (mathematics); Transport engineering; Engineering; Geography; Mathematics; Automotive engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005630267,0.000836633,0.000448131,0.0005270279,0.0004825157,0.0009584854,0.001302534,0.000849195,0.001618809],"category_scores_gemma":[0.000774455,0.0004581491,0.0008613006,0.0003783636,0.0003236931,0.0007994926,0.0005787908,0.0007209775,0.000232168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001593611,"about_ca_system_score_gemma":0.002722545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08257656,"about_ca_topic_score_gemma":0.05454624,"domain_scores_codex":[0.9997846,0.00004674277,0.00001168843,0.00005571201,0.00005598642,0.00004523579],"domain_scores_gemma":[0.9997538,0.0000831638,0.00004810063,0.00001253455,0.00008386147,0.00001844805],"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":[0.000008624223,0.000010066,0.00111312,0.000008863912,0.000008900947,0.00002785227,0.00002457084,0.994848,0.0007792265,0.0008830804,0.00009027078,0.002197522],"study_design_scores_gemma":[0.000001962034,0.00001173946,0.0003035148,0.000001938721,0.000006775861,0.000006669291,0.0000134499,0.9988871,0.0002248677,0.000352017,0.0001864962,0.000003440116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2168792,0.0001388535,0.7741321,0.0002343842,0.00003198433,0.0001653948,0.000776263,0.0005586682,0.007083066],"genre_scores_gemma":[0.9427369,0.0001679262,0.05139759,0.00002656571,0.00001612073,0.0002053009,0.0005283132,0.00004965661,0.004871707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08257656,"threshold_uncertainty_score":0.1641918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711382616497385,"score_gpt":0.2379805222941634,"score_spread":0.2208666961291895,"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."}}