{"id":"W601366888","doi":"10.1007/s10533-015-0114-3","title":"The fingerprints of urban nutrients: dynamics of phosphorus speciation in water flowing through developed landscapes","year":2015,"lang":"en","type":"article","venue":"Biogeochemistry","topic":"Urban Stormwater Management Solutions","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Trent University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada","keywords":"Stormwater; Environmental science; Phosphorus; Biogeochemistry; Hydrology (agriculture); Nutrient; Aquatic ecosystem; Biogeochemical cycle; Inlet; Ecosystem; Environmental chemistry; Surface runoff; Ecology; Oceanography; Geology; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00020335,0.00007238959,0.0001802035,0.0005661014,0.0004105945,0.00104212,0.0002731513,0.0002895217,0.001487045],"category_scores_gemma":[0.001316133,0.0001249806,0.0001060899,0.001062231,0.0008656065,0.001657476,0.0007885642,0.0002225205,0.00008172652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007383262,"about_ca_system_score_gemma":0.0004871747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01140712,"about_ca_topic_score_gemma":0.03559842,"domain_scores_codex":[0.9999163,0.00002328284,0.000004269257,0.00002300015,0.00001311299,0.00002000418],"domain_scores_gemma":[0.999661,0.0001173229,0.0001002936,0.00002980947,0.00005050424,0.00004101637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005833785,0.0001114156,0.8462887,0.0001577498,0.000176502,0.0003110806,0.003864261,0.01250528,0.03450614,0.01794968,0.001494811,0.08205096],"study_design_scores_gemma":[0.00001396086,0.00008178544,0.9638281,0.00001647087,0.0000441927,0.0001184649,0.005081136,0.01098063,0.003157476,0.01333182,0.003321541,0.00002436334],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972699,0.0001162297,0.00076041,0.0001614138,0.000002369904,0.000002422837,0.00008317004,0.000008006789,0.001596037],"genre_scores_gemma":[0.9995496,0.00008363487,0.0001717009,0.00001191646,0.000001797422,0.000001012155,0.00002599986,0.000003583599,0.0001508289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01140712,"threshold_uncertainty_score":0.02268147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420627025425779,"score_gpt":0.2141677719405777,"score_spread":0.1999615016863199,"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."}}