{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011781,0.000129154,0.0001713376,0.0001893811,0.0002194789,0.0003014714,0.0001198752,0.0001700358,0.000196215],"category_scores_gemma":[0.0001450722,0.00007673069,0.0001676543,0.0001554828,0.0001289976,0.000158961,0.0001139983,0.0001352332,0.00005375658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000754663,"about_ca_system_score_gemma":0.0004187396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01463296,"about_ca_topic_score_gemma":0.01121834,"domain_scores_codex":[0.999936,0.00001139312,0.000003332394,0.00001356874,0.00001438168,0.00002129628],"domain_scores_gemma":[0.9999181,0.00001968756,0.00002099391,0.000003103229,0.00002196099,0.00001621399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0003825379,0.00008311862,0.02873641,0.00003042889,0.000008873811,0.00007127945,0.00008036925,0.001418496,0.9640726,0.00004547377,0.00004432637,0.005025973],"study_design_scores_gemma":[0.0000459207,0.001442543,0.1802894,0.000009862527,0.00003010356,0.0001277591,0.0004728012,0.03078023,0.7856921,0.00007693483,0.001006315,0.00002620318],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996232,0.00001701445,0.0002660846,0.000003754788,6.14678e-7,0.000002322635,0.00002086609,0.000005572499,0.00006057645],"genre_scores_gemma":[0.9991195,0.00002370841,0.0005835097,0.000003303831,5.438788e-7,0.000004755566,0.00005319917,0.000001947506,0.0002095224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01463296,"threshold_uncertainty_score":0.02909559,"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."}}