{"id":"W4375860685","doi":"10.1016/j.cej.2023.143422","title":"Incorporating hydrothermal liquefaction into wastewater treatment – Part III: Aqueous phase characterization and evaluation of on-site treatment","year":2023,"lang":"en","type":"article","venue":"Chemical Engineering Journal","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Hydrothermal liquefaction; Aqueous solution; Chemical oxygen demand; Alkalinity; Phenol; Ammonia; Chromatography; Wastewater; Nuclear chemistry; Valeric acid; Aqueous two-phase system; Organic chemistry; Waste management; Acetic acid","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":[0.0001579346,0.0002056095,0.0002128768,0.0001567012,0.00003934636,0.00003358461,0.0000519649,0.0001011948,0.00004976795],"category_scores_gemma":[0.00003347447,0.0001743778,0.0000595301,0.0001899732,0.00001988533,0.0001448215,0.0000132286,0.0001049527,0.00001359792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004028819,"about_ca_system_score_gemma":0.00002744863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002226711,"about_ca_topic_score_gemma":1.216996e-7,"domain_scores_codex":[0.9990911,0.00001560906,0.0003127604,0.0001499276,0.0002450109,0.0001855428],"domain_scores_gemma":[0.9995773,0.00004754126,0.00007684717,0.0001072789,0.00006348024,0.000127532],"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":[0.0000381354,0.00004974174,0.00001145304,0.00004314648,0.00006799879,0.00000608243,0.0003393454,0.01273413,0.9369226,0.000004566146,0.00001164432,0.0497712],"study_design_scores_gemma":[0.001515144,0.0001432356,0.00002067974,0.00007901267,0.00004929302,0.00002827738,0.00001345316,0.2154253,0.782329,0.00001541479,0.0002557799,0.0001253451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986199,0.00009709871,0.0006057995,0.00006462105,0.0002132358,0.0001560932,0.0000100175,0.0002136095,0.00001961801],"genre_scores_gemma":[0.9992884,0.000121522,0.0001965462,0.00000377576,0.0001942165,0.00003758344,0.00009939884,0.00003840139,0.00002010471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2026912,"threshold_uncertainty_score":0.711092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663190042831477,"score_gpt":0.2439503902295503,"score_spread":0.2273184898012355,"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."}}