{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003167837,0.0003051685,0.0002420338,0.0002285786,0.0002053293,0.0003679821,0.0001843701,0.0003540539,0.0008009063],"category_scores_gemma":[0.0003330202,0.0001284541,0.0003148654,0.0001880617,0.0002661767,0.000294981,0.0002150324,0.0002511906,0.0001199108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006226386,"about_ca_system_score_gemma":0.0002853432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004144157,"about_ca_topic_score_gemma":0.00508493,"domain_scores_codex":[0.9998078,0.00004168915,0.00001004427,0.00002851278,0.00005768458,0.00005435756],"domain_scores_gemma":[0.9998528,0.00007927413,0.00001821692,0.000004883795,0.00003541043,0.000009396522],"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":[0.003144557,0.0001348728,0.004033921,0.0001309077,0.00003073747,0.0002059614,0.0001093622,0.004574005,0.9770735,0.0003047999,0.0001084218,0.01014892],"study_design_scores_gemma":[0.00003532159,0.0005875612,0.01175724,0.000008770182,0.0000388711,0.00004620506,0.0001619362,0.01001294,0.9766214,0.0001221046,0.0005935068,0.00001411359],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979115,0.0004386928,0.0008599912,0.00003481829,0.00001975933,0.000004162951,0.0000255656,0.00001094545,0.0006945505],"genre_scores_gemma":[0.9991019,0.000145803,0.0001760007,0.000006895563,0.000004582222,0.000003518669,0.00002843114,0.000003752179,0.0005292713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004144157,"threshold_uncertainty_score":0.008240104,"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."}}