{"id":"W3140090124","doi":"10.1002/elsa.202000030","title":"Ammonia separation from wastewater using bipolar membrane electrodialysis","year":2021,"lang":"en","type":"article","venue":"Electrochemical Science Advances","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Current Water Technologies (Canada); Suez (Canada); McMaster University","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Electrodialysis; Chemistry; Wastewater; Ammonia; Dewatering; Membrane; Ammonium; Pulp and paper industry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001236071,0.0003753101,0.0001898787,0.000222571,0.0001332743,0.0002714767,0.0002725415,0.0002974396,0.0004656938],"category_scores_gemma":[0.0001244125,0.0001120962,0.0001192697,0.0002220809,0.0001053632,0.0002579132,0.0002375445,0.0003098601,0.0002705986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002992712,"about_ca_system_score_gemma":0.0001451217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008920094,"about_ca_topic_score_gemma":0.001132366,"domain_scores_codex":[0.9998784,0.00002053334,0.000008743056,0.00003374668,0.00004121301,0.00001733002],"domain_scores_gemma":[0.9999597,0.000008393224,0.000009449849,0.000002298399,0.00001431193,0.000005840791],"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":[0.00001450497,0.000004737442,0.00004141474,0.00002120172,0.0000016331,0.000007097826,0.000002455721,0.00002185532,0.9986768,0.00001906491,0.00002965432,0.001159464],"study_design_scores_gemma":[0.0000065056,0.00006019575,0.000457301,0.000002198388,0.000003646079,0.00003273092,0.0000090363,0.001100047,0.997126,0.00002171944,0.001177144,0.00000334215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571185,0.003211579,0.03527591,0.0004016292,0.0001222393,0.00006038433,0.0005101755,0.0003643818,0.002935107],"genre_scores_gemma":[0.9801398,0.001629617,0.01589625,0.0001095752,0.00001680631,0.00002900212,0.0002746315,0.00001756211,0.00188669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008920094,"threshold_uncertainty_score":0.002171397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008380217324532998,"score_gpt":0.2712417825834942,"score_spread":0.2628615652589612,"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."}}