{"id":"W2061559572","doi":"10.1016/j.chemosphere.2006.03.050","title":"Biodegradation kinetics of high strength oily pet food wastewater in a membrane-coupled bioreactor (MBR)","year":2006,"lang":"en","type":"article","venue":"Chemosphere","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Chemistry; Chemical oxygen demand; Bioreactor; Wastewater; Membrane bioreactor; Hydraulic retention time; Volatile suspended solids; Chromatography; Biodegradation; Rendering (computer graphics); Membrane reactor; Nuclear chemistry; Membrane; Environmental engineering; Biochemistry; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002676693,0.0003202473,0.0003383689,0.0001486615,0.0002163179,0.0003626822,0.000266374,0.0004889379,0.0005951852],"category_scores_gemma":[0.0003918508,0.0001694477,0.000258523,0.0001642967,0.0001627041,0.0003375084,0.0001958909,0.0003996468,0.0002770485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818894,"about_ca_system_score_gemma":0.0003942705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006073575,"about_ca_topic_score_gemma":0.004182043,"domain_scores_codex":[0.9998124,0.00002902812,0.00001895193,0.0000390224,0.00005288742,0.00004769098],"domain_scores_gemma":[0.9998724,0.00004144021,0.00002043371,0.000009725595,0.00003490281,0.00002106243],"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":[0.0001918587,0.00002586889,0.0002706147,0.00002375108,0.000003481539,0.00002925202,0.00002025003,0.0001810795,0.9980135,0.00002047532,0.00001792976,0.00120186],"study_design_scores_gemma":[0.000006816483,0.000230511,0.001164909,0.000003035581,0.000006859451,0.00003365985,0.00002351049,0.001589449,0.9966962,0.00001074356,0.000230319,0.000003902605],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988014,0.0001928501,0.000645967,0.00004108394,0.000008566267,0.00000405658,0.0000678416,0.00001517808,0.000223185],"genre_scores_gemma":[0.997368,0.0001805322,0.0009236011,0.00001681825,0.000003514567,0.000004941,0.0001379362,0.000009006871,0.001355703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006073575,"threshold_uncertainty_score":0.01207644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007462347388660596,"score_gpt":0.1953997272211274,"score_spread":0.1879373798324668,"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."}}