{"id":"W4414380387","doi":"10.1016/j.scitotenv.2025.180427","title":"Risk-based framework to determine climate-informed design storms for road drainage infrastructure","year":2025,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Ontario Ministry of Transportation","keywords":"Storm; Hazard; Climate change; Drainage; Flexibility (engineering); Vulnerability (computing); Resilience (materials science); Weighting; Precipitation","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003308503,0.001290288,0.0007528504,0.002402469,0.0007600434,0.002020293,0.00192483,0.001192326,0.003396695],"category_scores_gemma":[0.006762817,0.0006946202,0.001702779,0.001080361,0.0009752217,0.001782267,0.0023157,0.001217716,0.0003933209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003020668,"about_ca_system_score_gemma":0.004522825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02461271,"about_ca_topic_score_gemma":0.02469993,"domain_scores_codex":[0.9984301,0.0005767907,0.0001236727,0.0002776987,0.0004042323,0.000187573],"domain_scores_gemma":[0.9978735,0.0008664983,0.0003518458,0.0001838404,0.0005829668,0.0001411887],"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":[0.00001329834,0.0000225532,0.002058801,0.0000382588,0.00003503557,0.00006689165,0.0001190817,0.9625319,0.0006571628,0.02298418,0.0005747224,0.01089806],"study_design_scores_gemma":[0.000006232217,0.00001808286,0.0005704515,0.00001867879,0.00001617316,0.00002327268,0.00006725502,0.9776371,0.0002670694,0.02005813,0.001303834,0.00001367998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01019856,0.00007704948,0.9863459,0.0002059361,0.00001405195,0.0001131384,0.0003397288,0.0002581939,0.002447417],"genre_scores_gemma":[0.4755167,0.0002667351,0.5200171,0.00008177248,0.00006033131,0.0004613402,0.001026001,0.0001423213,0.002427728],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02461271,"threshold_uncertainty_score":0.04893887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008420268799777916,"score_gpt":0.2319523742134662,"score_spread":0.2235321054136883,"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."}}