{"id":"W3193896369","doi":"10.1016/j.biortech.2021.125754","title":"Greenhouse gas emissions in sludge ultrasonication followed by anaerobic digestion processes","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"Centre Eau Terre Environnement, Institut National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Anaerobic digestion; Sonication; Greenhouse gas; Methane; Waste management; Environmental science; Energy recovery; Pulp and paper industry; Activated sludge; Chemistry; Environmental engineering; Sewage treatment; Energy (signal processing); Chromatography; Engineering; Ecology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007707185,0.0001604978,0.0001640407,0.0002795442,0.00006585685,0.00002129066,0.0001643963,0.0003197394,0.00004884575],"category_scores_gemma":[0.000277717,0.0001669067,0.00003098154,0.001453116,0.00008469637,0.00008993455,0.00003313432,0.0002424841,0.00004431625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000109261,"about_ca_system_score_gemma":0.00004824439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001256949,"about_ca_topic_score_gemma":0.000105738,"domain_scores_codex":[0.9990405,0.00002049559,0.0002434671,0.0003191626,0.0001024818,0.0002738746],"domain_scores_gemma":[0.9994762,0.00002137141,0.00004284619,0.0003325253,0.00007179218,0.00005525631],"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":[0.00001886779,0.0003808198,0.02125336,0.00007778854,0.00003755937,0.00003679994,0.0002397563,0.00113529,0.9151608,0.005788996,0.02971276,0.02615717],"study_design_scores_gemma":[0.0008361366,0.0001082375,0.004313234,0.0001472949,0.00003088547,0.000100555,0.0005918249,0.0002838454,0.5952344,0.00051401,0.3973107,0.0005288615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.989435,0.002844584,0.001303803,0.003687813,0.0001483936,0.0001752512,0.00001133632,0.001727466,0.0006663104],"genre_scores_gemma":[0.9972054,0.001185308,0.0008560957,0.00004010526,0.00003362493,0.0000471084,0.0001089348,0.00003195668,0.0004914834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3675979,"threshold_uncertainty_score":0.6806257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00679188573908883,"score_gpt":0.2078044651803335,"score_spread":0.2010125794412446,"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."}}