{"id":"W4379058274","doi":"10.1016/j.biortech.2023.129252","title":"Impact of graphene oxide addition on pharmaceuticals removal in anaerobic membrane bioreactor","year":2023,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Generalitat de Catalunya; European Commission; European Social Fund; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Bioreactor; Membrane bioreactor; Graphene; Wastewater; Oxide; Chemistry; Anaerobic digestion; Anaerobic exercise; Microbial population biology; Membrane; Microbiology; Pulp and paper industry; Bacteria; Materials science; Environmental engineering; Biology; Methane; Biochemistry; Nanotechnology; Environmental science; Organic chemistry","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":[0.0001959619,0.0005507467,0.0004203023,0.0003425768,0.0002759652,0.0005331475,0.000243581,0.000515192,0.0005178933],"category_scores_gemma":[0.0004256967,0.0001884785,0.0004955466,0.0002489176,0.0001981413,0.0003337646,0.0003134595,0.000425363,0.0001124803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003268428,"about_ca_system_score_gemma":0.0002863098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002254188,"about_ca_topic_score_gemma":0.002845893,"domain_scores_codex":[0.9997442,0.00004660264,0.00003411028,0.00004895764,0.00007050169,0.00005559697],"domain_scores_gemma":[0.9998285,0.00006168088,0.00003568086,0.00001117759,0.00003945611,0.00002358547],"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":[0.0001986524,0.00004787615,0.0002588155,0.00009675528,0.00001474665,0.00006476673,0.00001789498,0.0002812786,0.9972969,0.0000154892,0.00001664677,0.001690157],"study_design_scores_gemma":[0.000007886362,0.0005540681,0.004208671,0.00001659258,0.00004927582,0.00003931976,0.00004606952,0.001065322,0.993256,0.00002307794,0.0007216741,0.00001201518],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982835,0.0006360316,0.0003983863,0.00004219623,0.00002841162,0.00001107652,0.000100681,0.00001611011,0.0004834738],"genre_scores_gemma":[0.99756,0.0006323921,0.001224891,0.00003109198,0.000007694821,0.00001444775,0.0001003529,0.000005547729,0.0004236202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002254188,"threshold_uncertainty_score":0.00448215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666140505427903,"score_gpt":0.2770027400478104,"score_spread":0.2603413349935313,"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."}}