{"id":"W3111738856","doi":"10.1016/j.biortech.2020.124498","title":"Optimization of thermal hydrolysis process for enhancing anaerobic digestion in a wastewater treatment plant with existing primary sludge fermentation","year":2020,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anaerobic digestion; Activated sludge; Fermentation; Sewage treatment; Pulp and paper industry; Waste management; Sewage sludge treatment; Thermal hydrolysis; Chemistry; Wastewater; Hydrolysis; Methane; Environmental science; Food science; Biochemistry; Engineering","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":[0.0003448511,0.0005479053,0.0008182014,0.0003028267,0.0003842066,0.0007905633,0.0003214889,0.000399487,0.0006402825],"category_scores_gemma":[0.0003241369,0.0002324945,0.0006669117,0.0004878608,0.0001933363,0.0003599706,0.0002492076,0.000450929,0.0001693386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004031071,"about_ca_system_score_gemma":0.0005233867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001908088,"about_ca_topic_score_gemma":0.002527178,"domain_scores_codex":[0.9997405,0.00004805942,0.00002815949,0.00005271111,0.00008009027,0.00005051207],"domain_scores_gemma":[0.999885,0.00002772278,0.00002398923,0.00000879145,0.00002950008,0.00002507065],"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":[0.0006087173,0.0003158782,0.0006201457,0.0001622083,0.0000176749,0.00007223346,0.00002247916,0.003247522,0.9897373,0.00007234955,0.00003014267,0.00509336],"study_design_scores_gemma":[0.00004648781,0.0009887177,0.004171229,0.00001158568,0.00008301737,0.0000691386,0.00005347756,0.01001148,0.983937,0.00003475102,0.0005777695,0.00001532412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961554,0.0002986621,0.002859421,0.00003149659,0.00001916158,0.00002381574,0.00004913885,0.00002330185,0.000539595],"genre_scores_gemma":[0.9968292,0.0003014518,0.002382874,0.000007795292,0.000006370315,0.00001519791,0.00005357597,0.000006411321,0.0003971139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001908088,"threshold_uncertainty_score":0.003793895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01621854413381201,"score_gpt":0.2185678423980257,"score_spread":0.2023492982642137,"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."}}