{"id":"W2591566451","doi":"10.1002/cjce.22818","title":"Leachate treatment using supercritical water","year":2017,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Subcritical and Supercritical Water Processes","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundação Araucária; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Leachate; Pollutant; Supercritical fluid; Chemical oxygen demand; Chemistry; Degradation (telecommunications); Supercritical water oxidation; Turbidity; Environmental chemistry; Pulp and paper industry; Sewage treatment; Environmental engineering; Environmental science; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001708692,0.0002897542,0.0002617288,0.0003609603,0.0002324713,0.0002242927,0.0001257891,0.0001621691,0.0008942168],"category_scores_gemma":[0.0001507106,0.00006564987,0.0003775488,0.0002807726,0.0002082608,0.0002607203,0.0001830813,0.0002080907,0.0002081068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003270588,"about_ca_system_score_gemma":0.0002751246,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002207019,"about_ca_topic_score_gemma":0.004137397,"domain_scores_codex":[0.9997391,0.00003138087,0.00002313148,0.00003356408,0.0001327354,0.00004007333],"domain_scores_gemma":[0.9999088,0.0000134204,0.00002001695,0.000007628134,0.00004050984,0.000009587837],"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":[0.00005028277,0.00001100458,0.0002398969,0.00007157132,0.000009011369,0.00001881786,0.00001989463,0.000157533,0.9968969,0.00002595729,0.00003284818,0.002466363],"study_design_scores_gemma":[0.000002164888,0.0000875798,0.0005078097,0.000002221116,0.000006176166,0.00002062332,0.00001446908,0.0002316089,0.9982194,0.00001016246,0.0008948146,0.000002907055],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990742,0.001456324,0.005806535,0.00005746099,0.00003001539,0.00003129664,0.0002227061,0.0000625707,0.001591022],"genre_scores_gemma":[0.9940002,0.0008000451,0.002765318,0.00003338891,0.00001108363,0.00001860045,0.000270404,0.00001668899,0.002084269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002207019,"threshold_uncertainty_score":0.004388392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237145155240818,"score_gpt":0.2176249190351817,"score_spread":0.1939104035110999,"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."}}