{"id":"W2947014453","doi":"10.1016/j.chemosphere.2019.05.255","title":"Anaerobic digestion of blackwater assisted by granular activated carbon: From digestion inhibition to methanogenesis enhancement","year":2019,"lang":"en","type":"article","venue":"Chemosphere","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs","keywords":"Blackwater; Methanogenesis; Chemistry; Anaerobic digestion; Environmental chemistry; Methane; Activated carbon; Biomass (ecology); Pulp and paper industry; Chemical oxygen demand; Water treatment; Adsorption; Environmental engineering; Environmental science; Sewage treatment; Biology; Ecology; Organic chemistry","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":[0.000134528,0.0004961057,0.0002755971,0.0001941269,0.0001698094,0.0003847793,0.0001840159,0.0003432602,0.0004441684],"category_scores_gemma":[0.0001025684,0.0001239198,0.0002352464,0.000175997,0.0001507402,0.0003099041,0.0002470533,0.0003290294,0.0001346577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982806,"about_ca_system_score_gemma":0.0002857725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001315786,"about_ca_topic_score_gemma":0.003152424,"domain_scores_codex":[0.9999114,0.00001077851,0.000005087599,0.00001592047,0.00002524218,0.00003142063],"domain_scores_gemma":[0.9999583,0.000005371101,0.00001034001,0.000003065813,0.00001081315,0.00001206102],"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":[0.0001744965,0.00002962975,0.0001337809,0.0000356157,0.000004784471,0.00002165383,0.000009346203,0.0001262591,0.9971977,0.00004401195,0.00001915921,0.002203556],"study_design_scores_gemma":[0.000009080804,0.0001758911,0.001448772,0.000006048727,0.0000135112,0.00002495292,0.00002869091,0.001198059,0.9963452,0.00002917167,0.0007155308,0.000005042452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968021,0.0009444495,0.001256994,0.00004667819,0.00003612716,0.00001013778,0.00006783759,0.0000211638,0.0008145795],"genre_scores_gemma":[0.9969389,0.0005817364,0.001187284,0.00001749414,0.00000608913,0.000004003133,0.00004885752,0.000007684635,0.001208068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001315786,"threshold_uncertainty_score":0.002616227,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006400951037572747,"score_gpt":0.1936248080224954,"score_spread":0.1872238569849227,"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."}}