{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007067193,0.0001005941,0.0001838329,0.0001930698,0.00004181738,0.00001813656,0.00009304402,0.00004199548,0.0005822605],"category_scores_gemma":[0.000002370926,0.00006639405,0.0000547584,0.00006369579,0.00004170399,0.000693467,0.0001307301,0.0001318181,0.00001905577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003893016,"about_ca_system_score_gemma":0.000001321042,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004528042,"about_ca_topic_score_gemma":0.06037062,"domain_scores_codex":[0.9990606,0.00002413623,0.0002706801,0.00009177205,0.0001157456,0.0004371054],"domain_scores_gemma":[0.9997594,0.000008906023,0.00006420104,0.00007190614,0.000007042634,0.00008859173],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009923543,0.0001175705,0.9793196,0.000007498675,0.000006641646,0.000008769953,0.01731544,0.000006133828,0.001305984,0.000009210368,0.000820817,0.0009830679],"study_design_scores_gemma":[0.0008204451,0.000125129,0.9829848,0.00002068383,0.00002106153,0.0000237236,0.000263368,0.00002818837,0.0004883906,0.0001082163,0.01499901,0.0001169787],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981172,0.00003608378,0.00004903966,0.0004716187,0.0002237359,0.0001161622,0.000002373713,0.000003605377,0.0009801443],"genre_scores_gemma":[0.9987646,0.00002416594,0.0003873718,0.0002496819,0.0000706045,0.000014226,0.000006120636,0.000008425877,0.0004747493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05584257,"threshold_uncertainty_score":0.9567752,"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."}}