{"id":"W4200468191","doi":"10.2166/wst.2021.632","title":"Efficiency of an up-flow Anaerobic Sludge Blanket reactor coupled with an electrochemical system to remove chloramphenicol in swine wastewater","year":2021,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Advanced oxidation water treatment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Effluent; Wastewater; Chemical oxygen demand; Blanket; Chemistry; Pulp and paper industry; Biochemical oxygen demand; Sewage treatment; Pollutant; Anode; Bioreactor; Waste management; Environmental science; Environmental engineering; Materials science; Electrode; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003474345,0.0004290211,0.000570173,0.0002619465,0.0001985027,0.000506039,0.0005234475,0.0005201262,0.0006540521],"category_scores_gemma":[0.000306239,0.0002981503,0.000480821,0.0002620629,0.0001431609,0.0002654853,0.0002944923,0.0003911939,0.000265676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002526731,"about_ca_system_score_gemma":0.0003004886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196602,"about_ca_topic_score_gemma":0.002134024,"domain_scores_codex":[0.9995261,0.00008069574,0.00005693466,0.00009520395,0.0001960253,0.00004497403],"domain_scores_gemma":[0.99985,0.0000280807,0.0000310278,0.00001279815,0.00005008672,0.0000279835],"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":[0.0001020776,0.00005546663,0.000198387,0.00004920331,0.00001015595,0.00001380551,0.00000746189,0.00008983062,0.997212,0.00000766945,0.00001203771,0.002241976],"study_design_scores_gemma":[0.00002059154,0.0005865956,0.002425746,0.000005399425,0.00003340791,0.00006961246,0.00001646093,0.002454389,0.9938962,0.000007438852,0.0004769118,0.000007151186],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936529,0.0005309432,0.00523071,0.00003508688,0.00002448585,0.00002792745,0.00007224477,0.00006290007,0.0003627124],"genre_scores_gemma":[0.9884933,0.0004162819,0.008932488,0.00004338572,0.000009582608,0.00003472108,0.0001874171,0.00001460773,0.001868356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00196602,"threshold_uncertainty_score":0.003909111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005048151539152734,"score_gpt":0.2198423457892357,"score_spread":0.2147941942500829,"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."}}