{"id":"W4413270076","doi":"10.1016/j.biortech.2025.133159","title":"Ozone enhances biological treatment of hydrothermal liquefaction aqueous stream from municipal sludge","year":2025,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia","keywords":"Hydrothermal liquefaction; Chemical oxygen demand; Chemistry; Aqueous solution; Mesophile; Biodegradation; Anaerobic digestion; Ozone; Pulp and paper industry; Sewage treatment; Environmental chemistry; Waste management; Methane; Organic chemistry","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":[0.00006050041,0.0002732836,0.0001485444,0.00009546843,0.00006891931,0.0001779578,0.00009099786,0.0001476231,0.000550715],"category_scores_gemma":[0.00008916346,0.00008906156,0.0002271737,0.00008831176,0.00008668023,0.0001019287,0.0001483536,0.0002069863,0.00009081227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001353472,"about_ca_system_score_gemma":0.0001987894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002001113,"about_ca_topic_score_gemma":0.004125118,"domain_scores_codex":[0.9999498,0.000004814883,0.000005266779,0.000009955142,0.00001400366,0.00001616901],"domain_scores_gemma":[0.9999621,0.000005566048,0.00001286649,0.000002199477,0.000008388218,0.000008898625],"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":[0.00006869924,0.00001083325,0.0001715702,0.00002838642,0.00000274596,0.00001168163,0.00001063886,0.00003551133,0.9990079,0.000004970892,0.000007642543,0.0006395207],"study_design_scores_gemma":[0.000006272416,0.0002953358,0.004186158,0.000004730006,0.00001180492,0.00001985634,0.00002185873,0.0002834229,0.9947867,0.000006389142,0.0003743202,0.000003033599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987601,0.0002837439,0.0004231063,0.00001682414,0.000008245727,0.000008568511,0.0001174389,0.00001427231,0.0003677685],"genre_scores_gemma":[0.9982937,0.0002447276,0.0005192703,0.00001805416,0.00000204667,0.000006633988,0.0001434078,0.000005638726,0.0007666711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002001113,"threshold_uncertainty_score":0.003978908,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01206540091925551,"score_gpt":0.2331091574364464,"score_spread":0.2210437565171909,"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."}}