{"id":"W4409658388","doi":"10.3390/w17091246","title":"A Multi-Dimensional Contribution-Based Framework for Evaluating Urban Stormwater Management Efficiency","year":2025,"lang":"en","type":"article","venue":"Water","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Stormwater management; Stormwater; Environmental science; Low-impact development; Environmental planning; Environmental resource management; Business; Surface runoff; Water resource management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001936769,0.001320245,0.0006050025,0.002864975,0.0004359644,0.001736393,0.00129672,0.0007717388,0.002637019],"category_scores_gemma":[0.003097701,0.0004353904,0.001014977,0.001523288,0.0009484663,0.002112638,0.002134276,0.0005986089,0.0002499784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001477911,"about_ca_system_score_gemma":0.001032733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005614419,"about_ca_topic_score_gemma":0.006013834,"domain_scores_codex":[0.9989755,0.0004071622,0.00005252045,0.0001536862,0.0003017712,0.0001093534],"domain_scores_gemma":[0.999077,0.0003917711,0.0001359518,0.0001326987,0.0001827878,0.00007967575],"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":[0.00002501447,0.00004779806,0.004052654,0.00005893549,0.00005857916,0.00005763974,0.0000860654,0.9394534,0.001677649,0.04074705,0.0005951475,0.01314001],"study_design_scores_gemma":[0.000005316211,0.0000357794,0.001587991,0.00001374855,0.00002049649,0.00002552003,0.00007385902,0.9825839,0.000509741,0.01375987,0.001369374,0.00001438861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08853154,0.0002040941,0.8955283,0.0003717203,0.0000322666,0.000179105,0.0009757722,0.0004609459,0.01371635],"genre_scores_gemma":[0.8489404,0.0001988704,0.1478668,0.00004275013,0.00002864756,0.0002230529,0.0005416949,0.00009644721,0.002061382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005614419,"threshold_uncertainty_score":0.01116347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0181912530161569,"score_gpt":0.2893014000836314,"score_spread":0.2711101470674744,"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."}}