{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001303387,0.0001690854,0.0002415222,0.00006421876,0.0002030613,0.0002589475,0.0004358958,0.00008935339,0.00008613546],"category_scores_gemma":[0.0001954064,0.00009836136,0.0001192471,0.00002380701,0.0001707418,0.0002448001,0.00001656163,0.0002854405,0.00001508461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002268723,"about_ca_system_score_gemma":0.00007738933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006400767,"about_ca_topic_score_gemma":0.000103718,"domain_scores_codex":[0.9989979,0.000006564935,0.0002641022,0.00007606751,0.0001311044,0.000524216],"domain_scores_gemma":[0.999033,0.00005526887,0.000002559464,0.0002349032,0.00008756868,0.0005866403],"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":[0.000009523069,0.00001809627,0.0003643735,0.0001391088,0.0001622507,0.0004308678,0.0007716791,0.01256303,0.9818369,0.002394411,0.00009686059,0.001212923],"study_design_scores_gemma":[0.0003075101,0.00003219902,0.00004723339,0.00008671134,0.00006838202,0.000491408,0.00001646239,0.02924685,0.9665309,0.0006928854,0.002249784,0.0002297174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970341,0.0003607994,0.00057144,0.001122253,0.0004751663,0.00003790166,0.000005152942,0.00002561895,0.0003675824],"genre_scores_gemma":[0.999149,0.000004960555,0.0003317827,0.00004017072,0.0004300961,0.000001764583,8.62571e-7,0.00003352666,0.000007840068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01668382,"threshold_uncertainty_score":0.401106,"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."}}