{"id":"W4296663014","doi":"10.1016/j.scitotenv.2022.158894","title":"Investigating chemical and microbial functional indicators of nutrient retention capacity in greenhouse stormwater retention ponds in southwestern Ontario, Canada","year":2022,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada; University of Windsor","funders":"","keywords":"Eutrophication; Nutrient; Environmental science; Water column; Tributary; Stormwater; Wetland; Nitrification; Sediment; Ecosystem; Watershed; Nutrient cycle; Biogeochemical cycle; Aquatic ecosystem; Nitrogen cycle; Ecology; Environmental chemistry; Nitrogen; Surface runoff; Biology; Chemistry","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":[0.0003223489,0.000208573,0.0003301477,0.0006677656,0.002739663,0.0008761278,0.0005556184,0.0002344142,0.0007584543],"category_scores_gemma":[0.0004822118,0.0002272708,0.0001957111,0.001268096,0.001069743,0.0003690307,0.0004597862,0.0002952334,0.0001118863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01813377,"about_ca_system_score_gemma":0.01567728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9778053,"about_ca_topic_score_gemma":0.9954537,"domain_scores_codex":[0.9997062,0.00002153564,0.00001013541,0.00007209992,0.00009955037,0.00009043312],"domain_scores_gemma":[0.9991284,0.00005587694,0.0001282844,0.00001883453,0.000505537,0.0001631291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003739587,0.0001285228,0.9625146,0.0000676132,0.00005635324,0.0002870056,0.006626005,0.0004330084,0.01800247,0.0002038059,0.0006356483,0.01067097],"study_design_scores_gemma":[0.000006006755,0.0000454089,0.9934338,0.000007782242,0.00001219249,0.00002514298,0.004332514,0.000422972,0.0007892163,0.0000270759,0.0008916478,0.000006253935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984922,0.00005766948,0.0001414381,0.00004143008,0.000002176234,0.0000204792,0.0002802052,0.000005186299,0.0009592222],"genre_scores_gemma":[0.9971581,0.0000987457,0.0004155718,0.0000556271,0.000001679042,0.00001541676,0.000281306,0.000003581815,0.001970134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02219474,"threshold_uncertainty_score":0.1315703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167472513809037,"score_gpt":0.1610813325498798,"score_spread":0.1494066074117894,"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."}}