{"id":"W1988550341","doi":"10.1016/j.desal.2007.10.018","title":"The selective removal of oil from wastewaters while minimizing concentrate production using a membrane cascade","year":2008,"lang":"en","type":"article","venue":"Desalination","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Defence Research and Development Canada","keywords":"Membrane; Chromatography; Chemistry; Seawater; Hexane; Wastewater; Waste oil; Permeation; Extraction (chemistry); Membrane technology; Environmental engineering; Environmental science; Geology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001391416,0.0004343561,0.0002685747,0.0002087185,0.0004248921,0.0003393921,0.0004839941,0.0004491677,0.0008473381],"category_scores_gemma":[0.0001802094,0.0002296521,0.0003301691,0.0001552559,0.0002427403,0.0004887268,0.0004155847,0.0005809344,0.0003080099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006646028,"about_ca_system_score_gemma":0.0005001704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002703654,"about_ca_topic_score_gemma":0.004494156,"domain_scores_codex":[0.9998387,0.000006982284,0.000007504913,0.00004192884,0.00007171568,0.00003311039],"domain_scores_gemma":[0.9999182,0.00001872183,0.00001696096,0.000008441592,0.00002132659,0.00001639346],"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":[0.00003680294,0.00001554013,0.00006543007,0.00001894014,0.000002208309,0.00001991601,0.00001132907,0.00009117167,0.9978266,0.0001487113,0.00004962395,0.001713774],"study_design_scores_gemma":[0.000007174383,0.00006506601,0.0003872114,8.946081e-7,0.000005017285,0.0000535958,0.000005250212,0.001296798,0.9974854,0.00002818142,0.0006614596,0.000004047636],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845924,0.0004235102,0.01218571,0.0002355865,0.00005794548,0.00005223647,0.00008815043,0.000163433,0.002200999],"genre_scores_gemma":[0.985321,0.0004641686,0.008759493,0.00006371107,0.00001800818,0.000033552,0.00006675551,0.00002052413,0.005252777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002703654,"threshold_uncertainty_score":0.005375862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03180112343411437,"score_gpt":0.2439371801877414,"score_spread":0.212136056753627,"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."}}