{"id":"W4255273716","doi":"10.32920/ryerson.14645151","title":"Evaluation of nutrient retention and sediment deposition in two urban stormwater retention ponds","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Stormwater; Nutrient; Surface runoff; Environmental science; Suspended solids; Total suspended solids; Pollutant; Sediment; Deposition (geology); Phosphorus; Hydrology (agriculture); Retention basin; Environmental engineering; Ecology; Wastewater; Chemical oxygen demand; Chemistry; Biology; Geology","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":[0.0004544574,0.0003078522,0.0005100031,0.000329099,0.001051834,0.0008414473,0.0005135764,0.0004286942,0.001137553],"category_scores_gemma":[0.000670355,0.0002341836,0.0004440801,0.0006808826,0.0005675926,0.0004069244,0.0003877832,0.0002935351,0.0001432491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00526617,"about_ca_system_score_gemma":0.00238534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1755589,"about_ca_topic_score_gemma":0.3419522,"domain_scores_codex":[0.999685,0.0000266418,0.00001584633,0.00006116047,0.0001314644,0.00007988727],"domain_scores_gemma":[0.9994641,0.00008467953,0.00006992851,0.00003162867,0.0002311499,0.000118471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002069131,0.001248096,0.5065374,0.0003654542,0.0001840056,0.002353554,0.001433978,0.04102766,0.4031848,0.0003761842,0.0009117477,0.04030791],"study_design_scores_gemma":[0.0001694211,0.003348517,0.8181413,0.00002326052,0.0001685483,0.0001766873,0.002824312,0.07280546,0.09974658,0.000169591,0.002369077,0.00005714935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992853,0.00001001423,0.0002428266,0.000008447746,0.000001418645,0.0000262184,0.00007886651,0.00001570811,0.0003312627],"genre_scores_gemma":[0.9980326,0.00003700734,0.0007898445,0.000007749202,8.374185e-7,0.00002213508,0.0001473784,0.000005844264,0.0009566339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1755589,"threshold_uncertainty_score":0.349074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03572589783206572,"score_gpt":0.2717950214320534,"score_spread":0.2360691235999876,"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."}}