{"id":"W2321776470","doi":"10.2166/wcc.2012.125","title":"Trends in rainfall intensity for stormwater designs in Ontario","year":2012,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stormwater; Storm; Environmental science; Stormwater management; Hydrology (agriculture); Meteorology; Intensity (physics); Surface runoff; Climatology; Geography; Geology; Geotechnical engineering","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":[0.0002760089,0.0001328425,0.0001880664,0.001013995,0.0006693358,0.000540908,0.0004829963,0.0001698878,0.001886166],"category_scores_gemma":[0.001718413,0.0001791654,0.0002563259,0.002764538,0.0004299044,0.000281283,0.0004218316,0.0002027177,0.0001957785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01679624,"about_ca_system_score_gemma":0.009962632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9709964,"about_ca_topic_score_gemma":0.9907575,"domain_scores_codex":[0.9994746,0.0000226597,0.00003321577,0.00007490259,0.0002803183,0.0001142625],"domain_scores_gemma":[0.9977502,0.0001430933,0.0007111145,0.00006442609,0.001075562,0.0002555697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001148465,0.00002059035,0.9779494,0.00006947063,0.00004726032,0.0001156772,0.001757706,0.0008672404,0.002242427,0.0002794039,0.002325116,0.01421101],"study_design_scores_gemma":[0.000002165736,0.000009185854,0.9974601,0.000004286944,0.000004903114,0.00001294029,0.00034516,0.000186339,0.0001364211,0.00001036047,0.001824092,0.000003951329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876867,0.000248931,0.0002759401,0.0003103896,0.00000506838,0.00002362048,0.005390815,0.0000395483,0.006018968],"genre_scores_gemma":[0.9931656,0.0002539346,0.0002667701,0.00002543368,0.000003799317,0.00001814241,0.002338029,0.000008298241,0.003920095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02900356,"threshold_uncertainty_score":0.1218659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1017481071648896,"score_gpt":0.2636041207974475,"score_spread":0.1618560136325579,"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."}}