{"id":"W2005504142","doi":"10.1089/ees.2006.0264","title":"Novel Membrane Pretreatment to Increase the Efficiency of Ozonation-BioOxidation","year":2008,"lang":"en","type":"article","venue":"Environmental Engineering Science","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Chemistry; Chemical oxygen demand; Ozone; Wastewater; Effluent; Pulp and paper industry; Ceramic membrane; Chromatography; Molar mass; Biochemical oxygen demand; Bleach; Biodegradation; Sewage treatment; Membrane; Waste management; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003169012,0.0001441131,0.0001048948,0.0001027663,0.0002609991,0.00001327186,0.0006302088,0.00003262305,0.000386502],"category_scores_gemma":[0.0001574135,0.0001102738,0.00003480517,0.0007163184,0.000739561,0.0003181809,0.0002954026,0.00007842754,0.0002485194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003223051,"about_ca_system_score_gemma":0.00001524015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000104734,"about_ca_topic_score_gemma":0.000003137152,"domain_scores_codex":[0.9984056,0.000007751047,0.0002287584,0.0003534998,0.0007381256,0.0002662468],"domain_scores_gemma":[0.9993356,0.00005744661,0.00007236418,0.0004343055,0.000003096108,0.00009717525],"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":[0.000003410876,0.00009321744,0.002984851,0.000001919918,0.000002110108,0.000001130922,0.0003791442,0.1121268,0.8837551,0.00009906073,0.00003338169,0.000519878],"study_design_scores_gemma":[0.0002041048,0.0001043039,0.1496619,0.000006885196,0.00000584722,0.00003803854,0.00007679751,0.01958628,0.8294266,0.000006327845,0.0007023049,0.0001806172],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9873103,0.00001570828,0.01082572,0.0001538654,0.00008251642,0.0003481947,0.000009193044,0.0000754644,0.001179033],"genre_scores_gemma":[0.9919978,0.00001569874,0.007570016,0.00005006825,0.000008544665,0.00003669797,0.000003324871,0.000009253336,0.0003085495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.146677,"threshold_uncertainty_score":0.4496836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007736251124467533,"score_gpt":0.1934769163652231,"score_spread":0.1857406652407556,"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."}}