{"id":"W2330443211","doi":"10.2166/wst.2010.295","title":"Optimal rainfall temporal patterns for urban drainage design in the context of climate change","year":2010,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Downscaling; Storm; Environmental science; Surface runoff; Context (archaeology); Climate change; Drainage; Runoff model; Climatology; Stormwater; Hydrology (agriculture); Drainage basin; Meteorology; Geography; Geology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003310037,0.0002071678,0.0001866097,0.0005969145,0.0002005868,0.0003566582,0.000221191,0.0001140414,0.0006654771],"category_scores_gemma":[0.00146199,0.0001622392,0.0001620831,0.000614152,0.0001619198,0.0002057663,0.0001559468,0.0001262071,0.00007266901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150487,"about_ca_system_score_gemma":0.001818757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06139643,"about_ca_topic_score_gemma":0.174444,"domain_scores_codex":[0.9998703,0.00005036858,0.000006586605,0.00002148239,0.00003185078,0.00001944932],"domain_scores_gemma":[0.9997594,0.00007886338,0.00004353685,0.0000212872,0.00008145429,0.00001558879],"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":[0.0001318712,0.00004214274,0.04489878,0.00005446903,0.00003494896,0.00006899505,0.0001297334,0.8165877,0.009687642,0.002400176,0.0006135734,0.12535],"study_design_scores_gemma":[0.00001384114,0.00002999359,0.01820491,0.000005892136,0.00001072757,0.00002184237,0.0000943562,0.9772927,0.002511233,0.0009663167,0.0008383176,0.000009933317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5151303,0.0001015401,0.4820863,0.00008102698,0.000006388094,0.0001044755,0.0004076721,0.0002785984,0.001803603],"genre_scores_gemma":[0.8759353,0.00006944254,0.1229956,0.00000859281,0.000003429127,0.00006358837,0.000351167,0.00003494229,0.0005379847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06139643,"threshold_uncertainty_score":0.1220781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530435860963071,"score_gpt":0.2422245443183903,"score_spread":0.2269201857087596,"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."}}