{"id":"W4413276352","doi":"10.31223/x5x452","title":"Trade-offs Between Discretization Approaches in Urban Stormwater Modeling: Accuracy, Interpretability, and Practical Implications","year":2025,"lang":"en","type":"article","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Discretization; Stormwater; Computer science; Environmental science; Machine learning; Mathematics; Surface runoff; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01378148,0.0007403966,0.0006212436,0.0006038268,0.0006285623,0.002436823,0.001295282,0.001094702,0.0007230648],"category_scores_gemma":[0.05881157,0.0004643872,0.000673143,0.0008561767,0.001346096,0.002393822,0.001512782,0.001116447,0.0001425106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009816632,"about_ca_system_score_gemma":0.0010044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006734542,"about_ca_topic_score_gemma":0.007613525,"domain_scores_codex":[0.991759,0.005574232,0.0008513107,0.0005747336,0.0009647884,0.000275914],"domain_scores_gemma":[0.9515613,0.03989521,0.002496659,0.004079523,0.001711357,0.0002558559],"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":[0.00101188,0.0004138875,0.1360642,0.0004445152,0.0004787579,0.000485493,0.002959499,0.7161208,0.01753517,0.01484671,0.001045883,0.1085932],"study_design_scores_gemma":[0.0002145432,0.0004929905,0.03258387,0.0003138481,0.000181668,0.0002559692,0.001814289,0.9257871,0.01913009,0.01653419,0.00255841,0.0001329966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8572794,0.0009424816,0.1348869,0.002404495,0.00009240078,0.0001485729,0.0003081348,0.0003216568,0.003616012],"genre_scores_gemma":[0.961942,0.0002441017,0.03732338,0.0000959274,0.00002025316,0.00004914299,0.0001214392,0.0000684218,0.0001354128],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01378148,"threshold_uncertainty_score":0.07288432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06468905289695719,"score_gpt":0.2961607861406829,"score_spread":0.2314717332437257,"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."}}