{"id":"W3090990376","doi":"10.1016/j.scitotenv.2020.142554","title":"New insights on the combined removal of antibiotics and ARGs in urban wastewater through the use of two configurations of vertical subsurface flow constructed wetlands","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Generalitat de Catalunya; Ministerio de Ciencia, Innovación y Universidades; Canadian Institute for Advanced Research","keywords":"Effluent; Wastewater; Constructed wetland; Antibiotics; Ciprofloxacin; Sewage treatment; Wetland; Environmental chemistry; Environmental engineering; Chemistry; Veterinary medicine; Pulp and paper industry; Environmental science; Microbiology; Biology; Ecology; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002687392,0.0001554559,0.0002268349,0.00001234116,0.0001492384,0.00001577248,0.0006250432,0.00003305127,0.0003020709],"category_scores_gemma":[0.00009316755,0.00006590097,0.00007015345,0.0002962031,0.005757369,0.0001831262,0.0005843397,0.0001897081,0.0000126197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004490743,"about_ca_system_score_gemma":0.00001997645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000161819,"about_ca_topic_score_gemma":0.000003054864,"domain_scores_codex":[0.9982497,0.0001532332,0.0004025727,0.000240016,0.0007140624,0.0002404017],"domain_scores_gemma":[0.9990288,0.0002494623,0.000157679,0.0004599477,0.000002997809,0.0001011225],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009272733,0.0001445278,0.001766619,0.00000883881,0.00001645567,0.000001381826,0.002483764,0.05967592,0.933444,0.002114533,0.00007607609,0.0001751041],"study_design_scores_gemma":[0.0006391822,0.0002395198,0.06846435,0.00004299541,0.00004791819,0.0000120119,0.0003268088,0.03406395,0.8954402,0.0005477655,0.00007323363,0.0001021056],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938212,0.00002578767,0.00004773357,0.00505576,0.00004826454,0.0003909342,0.00001728684,0.000002866462,0.0005901637],"genre_scores_gemma":[0.9991152,0.00004978808,0.000579958,0.0001756476,0.000007290638,1.795136e-7,7.087688e-7,0.000006649518,0.00006461955],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06669772,"threshold_uncertainty_score":0.9969484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03991956408818515,"score_gpt":0.2449584479448701,"score_spread":0.205038883856685,"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."}}