{"id":"W4211215034","doi":"10.1016/j.jhazmat.2022.128473","title":"Enhancing the resistance to H2S toxicity during anaerobic digestion of low-strength wastewater through granular activated carbon (GAC) addition","year":2022,"lang":"en","type":"article","venue":"Journal of Hazardous Materials","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":67,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Wastewater; Chemistry; Microbial population biology; Anaerobic digestion; Chemical oxygen demand; Sulfate-reducing bacteria; Pulp and paper industry; Sulfate; Environmental chemistry; Methanosaeta; Methanogen; Bacteria; Food science; Microbiology; Environmental engineering; Methane; Biology; Environmental science","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":[0.0001171938,0.0003494074,0.0002130587,0.0002395548,0.0001757759,0.0005195225,0.0002531986,0.0004134678,0.0004633377],"category_scores_gemma":[0.0001946948,0.0001295812,0.0002636276,0.0001689636,0.0002000547,0.0002001867,0.0001977142,0.0002951664,0.0001145725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002697529,"about_ca_system_score_gemma":0.0002831441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002340716,"about_ca_topic_score_gemma":0.004403866,"domain_scores_codex":[0.9998688,0.00001318597,0.00001176817,0.00002226647,0.00004312279,0.00004086526],"domain_scores_gemma":[0.9998873,0.00001258728,0.00002168777,0.000008654453,0.00004171582,0.00002793393],"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":[0.0001858104,0.00003437938,0.0002251377,0.00005428908,0.000006162895,0.00003484386,0.0000133143,0.0002936366,0.9969982,0.00003097236,0.00003524329,0.002088106],"study_design_scores_gemma":[0.000008598923,0.0001906813,0.00166519,0.000004060836,0.00001423565,0.00002418562,0.00002585986,0.001510071,0.9960464,0.00001524433,0.0004894706,0.000006114453],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988124,0.0002380815,0.0004079631,0.00003846426,0.00002272521,0.00001260948,0.00004906178,0.00002463074,0.000394078],"genre_scores_gemma":[0.9987401,0.0001343987,0.0004105138,0.00001551206,0.000003799691,0.000005558419,0.0000414489,0.000004759721,0.000643822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002340716,"threshold_uncertainty_score":0.004654229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005915775640613704,"score_gpt":0.195729924070141,"score_spread":0.1898141484295273,"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."}}