{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000107603,0.0002242512,0.0002701191,0.00008803362,0.00005141402,0.0001148257,0.0001148181,0.0001041386,0.005439988],"category_scores_gemma":[0.00001538719,0.0001940273,0.00005345337,0.0001212668,0.0000230265,0.0002603727,0.00008162765,0.0001765681,0.0004025644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005579424,"about_ca_system_score_gemma":0.00001506025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001067322,"about_ca_topic_score_gemma":0.0000909173,"domain_scores_codex":[0.9989365,0.00003715143,0.0002685596,0.0002962124,0.0001975482,0.0002640478],"domain_scores_gemma":[0.9994827,0.00003649511,0.00002361273,0.0003160429,0.00006020973,0.00008093057],"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":[0.00004074959,0.00001802218,0.0001058648,0.000309529,0.00004999068,0.0000628854,0.000306359,0.00004893228,0.9928433,0.000006741015,0.004028982,0.002178645],"study_design_scores_gemma":[0.0003533204,0.00001322285,0.001058968,0.00004290673,0.00002068078,0.00003801821,0.00002683948,0.000538628,0.9614324,0.0001930977,0.03602336,0.0002585727],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923124,0.002375895,0.0006359498,0.0007683943,0.001264367,0.0001618435,0.00003024471,0.0005517827,0.001899141],"genre_scores_gemma":[0.993202,0.001470896,0.0005663671,0.0006711031,0.0004703366,0.00002995196,0.0003755761,0.00007010372,0.003143675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03199437,"threshold_uncertainty_score":0.9954692,"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."}}