{"id":"W4411363901","doi":"10.1139/cjce-2025-0118","title":"Evaluating ENSO-driven risks to strengthen transportation system resilience of Canadian provinces","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Infrastructure Resilience and Vulnerability Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Faculty of Graduate Studies and Research, University of Regina","keywords":"Resilience (materials science); El Niño Southern Oscillation; Business; Transport engineering; Environmental science; Environmental resource management; Environmental planning; Geography; Engineering; Climatology; Geology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.001294588,0.0006218845,0.0003002646,0.001402194,0.001917515,0.001769144,0.0008266463,0.0003764372,0.001675673],"category_scores_gemma":[0.005729057,0.0002074079,0.0005024954,0.002362067,0.000963792,0.0007493033,0.001185528,0.0005297352,0.00008264898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04824039,"about_ca_system_score_gemma":0.04711404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9940277,"about_ca_topic_score_gemma":0.9953636,"domain_scores_codex":[0.9992048,0.0001151723,0.00003127471,0.00007417941,0.0002362246,0.0003382852],"domain_scores_gemma":[0.9978296,0.0003200649,0.000178452,0.00009002575,0.001273648,0.0003082916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006709018,0.0002153349,0.6894355,0.0001711568,0.0003575057,0.0004213214,0.001392511,0.2487796,0.001178003,0.01214044,0.004908783,0.04032892],"study_design_scores_gemma":[0.00006356699,0.0001490643,0.7874205,0.0001233373,0.0002501514,0.0000589212,0.01011086,0.1852427,0.001801542,0.003664612,0.01100236,0.0001125474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846892,0.000285132,0.001048977,0.000577857,0.00001537448,0.00008009787,0.003136917,0.00003091773,0.01013543],"genre_scores_gemma":[0.9975855,0.0001613232,0.0006070769,0.00002488836,0.000002433672,0.00001379034,0.0008449611,0.000006366132,0.0007537491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04824039,"threshold_uncertainty_score":0.3500102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01680676778471185,"score_gpt":0.2469186831526684,"score_spread":0.2301119153679565,"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."}}