{"id":"W2188487084","doi":"10.2166/wqrj.2008.017","title":"Transport of Lithium Tracer and E. coli in Agricultural Wastewater Treatment Wetlands","year":2008,"lang":"en","type":"article","venue":"Water Quality Research Journal","topic":"Constructed Wetlands for Wastewater Treatment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Nova Scotia Department of Agriculture; Dalhousie University","funders":"Canadian Water Network","keywords":"Wetland; Environmental science; Wastewater; Constructed wetland; TRACER; Environmental engineering; Effluent; Hydraulic retention time; Sewage treatment; Hydrology (agriculture); Environmental chemistry; Surface water; Residence time (fluid dynamics); Ecology; Chemistry; Biology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001372882,0.0002048101,0.0003634403,0.0001584388,0.0002833474,0.00003323906,0.0002046743,0.00009568989,0.001079474],"category_scores_gemma":[0.00001133482,0.0001060627,0.0001350932,0.0002080717,0.0006476961,0.0002958012,0.0001023921,0.0003800747,0.00006367285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004447764,"about_ca_system_score_gemma":0.0000303881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595347,"about_ca_topic_score_gemma":0.000679995,"domain_scores_codex":[0.9969102,0.0005205668,0.0006375577,0.0003258899,0.0008778964,0.0007278841],"domain_scores_gemma":[0.9993116,0.00006050639,0.00006333736,0.0002231431,0.0000393865,0.0003020492],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002870481,0.0004117066,0.8386478,0.00001797992,0.00006555516,0.0002770468,0.01386587,0.00006110044,0.1452275,0.000009256378,0.00008475665,0.001044421],"study_design_scores_gemma":[0.002545771,0.0005735275,0.8503081,0.00003147528,0.00001332363,0.000922169,0.0009930796,0.000008931751,0.1420277,0.0003252754,0.002072242,0.0001784361],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996651,0.00005042418,0.000001536554,0.0006935672,0.00005339856,0.0002927119,0.00001634892,0.000009961836,0.002231059],"genre_scores_gemma":[0.9970189,0.000180986,0.0002364169,0.000007212059,0.00004736742,0.00002230556,0.00001520909,0.00001214808,0.002459467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01287279,"threshold_uncertainty_score":0.9998337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06776844242212678,"score_gpt":0.3204064976777485,"score_spread":0.2526380552556217,"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."}}