{"id":"W4407666926","doi":"10.1080/03081060.2025.2465557","title":"Assessing traffic vulnerability to climate hazards in cold regions: the impact of harsh winters conditions on highway traffic volumes","year":2025,"lang":"en","type":"article","venue":"Transportation Planning and Technology","topic":"Traffic and Road Safety","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Vulnerability (computing); Transport engineering; Environmental science; Traffic volume; Poison control; Road traffic; Engineering; Forensic engineering; Computer science; Computer security; Environmental health","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":[0.0001549915,0.0001399317,0.0002308747,0.000428487,0.0001104616,0.00001724636,0.0001070873,0.000156188,0.000005547989],"category_scores_gemma":[0.00001741194,0.0001112273,0.00004955183,0.0007079989,0.000128156,0.00008130944,0.000002507266,0.0002833688,0.000001167262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004345966,"about_ca_system_score_gemma":0.00003732918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001492985,"about_ca_topic_score_gemma":0.0001186999,"domain_scores_codex":[0.9991972,0.00002208111,0.0003208444,0.0001853832,0.00006273983,0.000211785],"domain_scores_gemma":[0.9996214,0.0001150019,0.00003748009,0.0001681299,0.00002954033,0.00002848014],"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":[0.00003373111,0.00005988193,0.0195968,0.0000795909,0.00005826145,0.00000871072,0.0009822011,0.9678556,0.0009342514,0.00372875,0.0005494219,0.006112854],"study_design_scores_gemma":[0.001006718,0.0001980022,0.9509873,0.0006419352,0.00005133603,0.000004013469,0.002567268,0.04272237,0.0008717665,0.000227054,0.0004665871,0.0002556031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971246,0.0002028767,0.001083155,0.0005392859,0.0001002884,0.0002192369,0.00008871379,0.000465272,0.0001766318],"genre_scores_gemma":[0.999715,0.00002733967,0.0001186843,0.00001956315,0.000004802615,0.00003934108,0.00004958437,0.00001147597,0.00001424498],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9313905,"threshold_uncertainty_score":0.4535716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01158800666160509,"score_gpt":0.2943748748688494,"score_spread":0.2827868682072443,"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."}}