{"id":"W4375948106","doi":"10.1016/j.biortech.2023.129136","title":"Boosting resilience of microbial electrolysis cell-assisted anaerobic digestion of blackwater with granular activated carbon amendment","year":2023,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Methanogenesis; Blackwater; Anaerobic digestion; Chemistry; Microbial electrolysis cell; Hydrolysis; Microbial consortium; Activated sludge; Bioreactor; Sewage treatment; Electrolysis; Pulp and paper industry; Wastewater; Waste management; Environmental chemistry; Methane; Environmental engineering; Environmental science; Microorganism; Bacteria; Biochemistry; Biology","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":[0.0001343165,0.00039404,0.000336941,0.0002937269,0.0001982955,0.0004901446,0.000270514,0.0003942551,0.000919061],"category_scores_gemma":[0.0002717908,0.0001487349,0.0003722938,0.0002333251,0.0001626103,0.0004214816,0.0004155447,0.0004793822,0.0001573045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002703152,"about_ca_system_score_gemma":0.0002958665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001617652,"about_ca_topic_score_gemma":0.003132746,"domain_scores_codex":[0.999873,0.000008862611,0.000010031,0.00002556314,0.00003614923,0.00004642056],"domain_scores_gemma":[0.9998963,0.00001545225,0.00002117498,0.000007309716,0.00002939967,0.00003026177],"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":[0.0002634402,0.00004396741,0.0002873161,0.00005138042,0.00001128426,0.00004674993,0.00001814259,0.0004111477,0.9966523,0.00004242211,0.00002930266,0.002142602],"study_design_scores_gemma":[0.00001982668,0.0003675542,0.003110038,0.000009800954,0.00003132225,0.00003690139,0.00007593178,0.002940969,0.9925811,0.00005488426,0.0007592853,0.00001216622],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986454,0.0002581561,0.0005625692,0.00003148784,0.00003270922,0.00001072954,0.0000747279,0.00002422042,0.0003599668],"genre_scores_gemma":[0.9991552,0.0001255046,0.0002389212,0.0000125783,0.000003550771,0.00000530043,0.00004466682,0.000004726328,0.0004095953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001617652,"threshold_uncertainty_score":0.003216505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00486999047491945,"score_gpt":0.1818704488175542,"score_spread":0.1770004583426347,"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."}}