{"id":"W4321211018","doi":"10.1061/joeedu.eeeng-7143","title":"Effects of Granular Activated Carbon Amendment, Temperature, and Organic Loading Rate on Microbial Communities in Up-Flow Anaerobic Sludge Blanket Reactors","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"","keywords":"Microbial population biology; Blanket; Anaerobic digestion; Environmental science; Bioreactor; Amendment; Methanosarcina; Activated sludge; Anaerobic exercise; Methanogenesis; Methane; Waste management; Environmental engineering; Pulp and paper industry; Wastewater; Chemistry; Biology; Ecology; Engineering; Materials science; Bacteria","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002025499,0.0001728733,0.0002438358,0.000371155,0.00002230656,0.00001530217,0.00008221043,0.00008017166,0.00001108918],"category_scores_gemma":[0.00001747402,0.0001690477,0.0000470783,0.0002121176,0.00002920316,0.0001339947,0.00002687327,0.0003434919,0.000001829905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772116,"about_ca_system_score_gemma":0.000004418148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007756394,"about_ca_topic_score_gemma":0.000001887133,"domain_scores_codex":[0.99929,0.00003303627,0.0002983247,0.00007967867,0.0001170516,0.0001818702],"domain_scores_gemma":[0.9997034,0.00006524312,0.0000769065,0.00009017204,0.000004451166,0.00005983075],"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":[0.00002721561,0.0000289539,0.0003238392,0.0000524499,0.00004231609,0.00002193316,0.0003813083,0.04478682,0.9541211,0.00001353571,0.00004155638,0.0001590499],"study_design_scores_gemma":[0.001075761,0.0001724802,0.02525321,0.0003095234,0.00003043348,0.0000364052,0.0003127601,0.002188719,0.970055,0.00000349,0.0003635691,0.0001985824],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990354,0.0002436377,0.0000174153,0.00001715057,0.0005254361,0.00009768244,0.000005346665,0.00004790688,0.00001001011],"genre_scores_gemma":[0.9983677,0.001414619,0.00008039391,0.000009268378,0.00005807685,0.000001699254,0.00001322933,0.00003561026,0.00001938051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0425981,"threshold_uncertainty_score":0.6893565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004277221102316216,"score_gpt":0.1670160612878372,"score_spread":0.162738840185521,"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."}}