{"id":"W3194126816","doi":"10.1016/j.biortech.2021.125819","title":"Corrigendum to “Greenhouse gas emissions in sludge ultrasonication followed by anaerobic digestion processes” [Bioresour. Technol. 341 (2021) (1–9) 125754]","year":2021,"lang":"en","type":"erratum","venue":"Bioresource Technology","topic":"Food Industry and Aquatic Biology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Anaerobic digestion; Greenhouse gas; Waste management; Sonication; Environmental science; Pulp and paper industry; Digestion (alchemy); Anaerobic exercise; Environmental chemistry; Chemistry; Environmental engineering; Methane; Engineering; Biology; Ecology; Chromatography","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":["metaepi_narrow","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.0003713311,0.0008518526,0.001073604,0.0003875034,0.0004100862,0.0001051063,0.001888191,0.005594723,0.0007936028],"category_scores_gemma":[0.00173922,0.0004543098,0.000202492,0.005424482,0.0004451469,0.00008459859,0.0005730154,0.002672713,0.0002090953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002853613,"about_ca_system_score_gemma":0.0002456956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004503028,"about_ca_topic_score_gemma":0.003229283,"domain_scores_codex":[0.9952344,0.000190432,0.0009935482,0.001829505,0.0004459612,0.001306098],"domain_scores_gemma":[0.9980693,0.000163478,0.0005564126,0.0006416336,0.0002529548,0.0003162083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004520251,0.0004792349,0.002750205,0.00005204989,0.00003921457,0.00005601314,0.00005489755,0.00000125473,0.1825638,0.0001052768,0.7647646,0.04908829],"study_design_scores_gemma":[0.0002920887,0.001089817,0.001231415,0.0006335687,0.00005556622,0.00005487782,0.0009053358,0.00001460617,0.01560498,0.0001915091,0.9789651,0.00096112],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8746576,0.01736867,0.00005314403,0.08460496,0.009531341,0.003927776,0.001754402,0.002626492,0.005475635],"genre_scores_gemma":[0.735408,0.00615001,0.00106578,0.001988091,0.003277305,0.002195368,0.01729942,0.00009524202,0.2325208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2270451,"threshold_uncertainty_score":0.9997908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01849974490220693,"score_gpt":0.2284201443085168,"score_spread":0.2099203994063099,"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."}}