{"id":"W2802223536","doi":"","title":"Measuring Urban Forest Canopy Effects on Stormwater Runoff in Guelph, Ontario","year":2018,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Surface runoff; Environmental science; Stormwater; Canopy; Stormwater management; Urban forest; Hydrology (agriculture); Tree canopy; Forestry; Geography; Engineering; Ecology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0001472156,0.0001826912,0.0001574606,0.0003016899,0.001882603,0.0007489452,0.0003888149,0.0001570231,0.001728885],"category_scores_gemma":[0.0007155962,0.0001465439,0.0001499063,0.001032123,0.0005368824,0.0002357756,0.0004345027,0.0001863951,0.000196565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01618764,"about_ca_system_score_gemma":0.01076472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9830008,"about_ca_topic_score_gemma":0.9963636,"domain_scores_codex":[0.9997484,0.00001653115,0.000005372669,0.00005392219,0.0001051343,0.00007060829],"domain_scores_gemma":[0.9996996,0.00003863009,0.00003949236,0.00001128223,0.0001588026,0.00005224657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000419757,0.0001997632,0.8440555,0.0002853264,0.0000975225,0.0007263815,0.01724525,0.006005329,0.03060737,0.001407951,0.009949231,0.08900055],"study_design_scores_gemma":[0.000009673573,0.00004419689,0.9884829,0.00001777667,0.0000162493,0.00003149021,0.003542258,0.001477933,0.001623174,0.00006091927,0.004683723,0.000009652194],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909062,0.00009508453,0.000321811,0.0001343255,0.00000252419,0.00006709206,0.0009182409,0.00002235371,0.007532315],"genre_scores_gemma":[0.9928519,0.0002687209,0.0009685361,0.0000451584,0.000001808877,0.00005009914,0.0005786381,0.0000121955,0.00522295],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01699924,"threshold_uncertainty_score":0.1174501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487256579706241,"score_gpt":0.1872891297702351,"score_spread":0.1724165639731727,"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."}}