{"id":"W3147325767","doi":"10.3390/membranes11040262","title":"Towards Water, Sodium Chloride and Natural Organic Matter Recovery from Ion Exchange Spent Brine","year":2021,"lang":"en","type":"article","venue":"Membranes","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Brine; Electrodialysis; Desalination; Resource recovery; Chemistry; Environmental science; Membrane; Waste management; Membrane distillation; Organic matter; Ion exchange; Sodium; Reversed electrodialysis; Pulp and paper industry; Environmental engineering; Wastewater; Ion; Engineering","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":[0.0002366513,0.0004886003,0.0003282787,0.0003208655,0.0002144923,0.0005382695,0.0003616283,0.0005188655,0.0005967089],"category_scores_gemma":[0.0002526324,0.0001898848,0.0005272937,0.0002599506,0.0002111144,0.0005462096,0.0005050549,0.0006178961,0.0004516978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003029702,"about_ca_system_score_gemma":0.0003098604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603657,"about_ca_topic_score_gemma":0.003300406,"domain_scores_codex":[0.9997947,0.00001980648,0.00001766603,0.00004427414,0.00008105057,0.0000426389],"domain_scores_gemma":[0.9998951,0.00001271444,0.00002496416,0.000007753261,0.00004638564,0.00001310765],"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":[0.00003856645,0.00002589884,0.0001492466,0.0001256259,0.000007361372,0.00006063352,0.00003056837,0.0002214549,0.9952945,0.00008439722,0.00005102471,0.003910686],"study_design_scores_gemma":[0.000003420878,0.0001484712,0.0006549324,0.0000108706,0.00001347422,0.00006882697,0.00004094952,0.00094366,0.9959978,0.00002812914,0.002080665,0.000008816912],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805398,0.004103809,0.01201976,0.0002241117,0.00006150948,0.00007232259,0.0002174213,0.0001683789,0.002592934],"genre_scores_gemma":[0.9796875,0.004515333,0.01144617,0.0001029651,0.00001820906,0.00005631915,0.0003260247,0.00003668107,0.003810821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001603657,"threshold_uncertainty_score":0.00318867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00999509442219752,"score_gpt":0.2151760157323589,"score_spread":0.2051809213101614,"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."}}