{"id":"W4392748168","doi":"10.2166/bgs.2024.051","title":"From shower to table: fate of organic micropollutants in hydroponic systems for greywater treatment and lettuce cultivation","year":2024,"lang":"en","type":"article","venue":"Blue-Green Systems","topic":"Wastewater Treatment and Reuse","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Horizon 2020 Framework Programme; Ministerio de Ciencia e Innovación; Generalitat de Catalunya; European Commission; Departament d'Innovació, Universitats i Empresa, Generalitat de Catalunya; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Shower; Greywater; Table (database); Environmental science; Horticulture; Environmental chemistry; Environmental engineering; Chemistry; Biology; Engineering; Computer science; Wastewater","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008430949,0.0002722294,0.0001854153,0.0001237087,0.0001893924,0.0003552379,0.0001894109,0.0002350988,0.001771232],"category_scores_gemma":[0.0001140881,0.00005768866,0.0001916309,0.00009847242,0.0001277978,0.0002372231,0.0002908311,0.0003013165,0.0004504925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002899952,"about_ca_system_score_gemma":0.0002075466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001813571,"about_ca_topic_score_gemma":0.003309516,"domain_scores_codex":[0.9999183,0.000008335922,0.000004930832,0.00002560124,0.00002642958,0.00001637242],"domain_scores_gemma":[0.99991,0.00001615677,0.00002344101,0.000007740772,0.00002287676,0.00001968821],"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":[0.00009607145,0.00001488947,0.0005848538,0.00006758756,0.000003598025,0.00004981408,0.0000199188,0.0001114184,0.9963431,0.00001330213,0.00003924724,0.002656246],"study_design_scores_gemma":[0.00000611596,0.0006959393,0.007115946,0.00001529049,0.00001304242,0.00004433739,0.00008520035,0.0005831854,0.989177,0.00002398362,0.002232864,0.000006966066],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969401,0.0003109811,0.001111242,0.00003867778,0.0000150226,0.00003002838,0.0003462966,0.00006069972,0.001147017],"genre_scores_gemma":[0.994842,0.0002831393,0.001595967,0.0000333483,0.000003610265,0.00002114447,0.0003204419,0.00001983904,0.002880673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001813571,"threshold_uncertainty_score":0.005925417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351805834300209,"score_gpt":0.2337533309163882,"score_spread":0.2202352725733861,"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."}}