{"id":"W4406424363","doi":"10.1016/j.uclim.2025.102290","title":"Urban stormwater resilience: Global insights and strategies for climate adaptation","year":2025,"lang":"en","type":"article","venue":"Urban Climate","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Resilience (materials science); Stormwater; Adaptation (eye); Environmental planning; Stormwater management; Environmental science; Urban resilience; Climate change; Environmental resource management; Urban planning; Surface runoff; Civil engineering; Engineering; Ecology; Psychology","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":[0.0002314312,0.0002312866,0.0001929447,0.00007131987,0.0005169982,0.0001953742,0.0002587196,0.00008735634,0.0001247734],"category_scores_gemma":[0.00001743511,0.0002095005,0.0000632654,0.0003240505,0.0002825433,0.0007703786,0.0003798171,0.00007941792,0.0001742412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002983318,"about_ca_system_score_gemma":0.00001922689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001245947,"about_ca_topic_score_gemma":0.0004994198,"domain_scores_codex":[0.9982678,0.00004683293,0.000322972,0.0005397279,0.000225241,0.0005973866],"domain_scores_gemma":[0.9994158,0.00004517186,0.00009637652,0.0003367088,0.00001724028,0.00008877381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003287793,0.0002691096,0.5426978,0.0004121131,0.0001005863,0.0000140484,0.004572765,0.002896345,0.002021909,0.2302114,0.2138426,0.002632524],"study_design_scores_gemma":[0.002814106,0.0004049412,0.5260619,0.0001555574,0.0003268845,0.00000560012,0.005139789,0.03650198,0.0003980502,0.03240319,0.394605,0.001182954],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8526508,0.0005851315,0.01657612,0.0006903571,0.0008289271,0.001615004,0.000197232,0.0004282201,0.1264282],"genre_scores_gemma":[0.995086,0.00008979219,0.002310537,0.0003867929,0.00004231171,0.0001351741,0.00004296489,0.00001481907,0.001891585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1978082,"threshold_uncertainty_score":0.8543183,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212801651980609,"score_gpt":0.2494927118555094,"score_spread":0.2373646953357033,"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."}}