{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002061188,0.0002057538,0.000246477,0.0001379955,0.0001851809,0.0001436978,0.0003273261,0.0000840706,0.0002138828],"category_scores_gemma":[0.0001049176,0.0002009695,0.00007174199,0.00152921,0.0001684577,0.001082602,0.00003637502,0.0002196563,0.00003898847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002532532,"about_ca_system_score_gemma":0.0001336293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001224857,"about_ca_topic_score_gemma":0.0000248323,"domain_scores_codex":[0.9980488,0.000032451,0.0003183304,0.0004958091,0.0005413011,0.0005633456],"domain_scores_gemma":[0.9992378,0.00006552125,0.00005266619,0.0003352616,0.0001559338,0.0001528069],"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":[0.00001010341,0.00001417186,0.00004185849,0.000008516563,0.000009543367,0.000003027892,0.00004495891,0.00105776,0.9971915,0.00007006748,0.00003114071,0.001517294],"study_design_scores_gemma":[0.0001167754,0.00001746987,0.00001032448,0.00001137958,0.00001875027,0.000009672457,0.00001249798,0.01960517,0.9712704,0.0009745539,0.007702392,0.0002505568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610912,0.004414161,0.03293476,0.00007648551,0.0001431939,0.0001069398,0.000005308595,0.0005374515,0.0006905574],"genre_scores_gemma":[0.967398,0.0004436305,0.03174178,0.0001094312,0.000168687,0.00002087593,0.00005328733,0.00002342496,0.00004082074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0259211,"threshold_uncertainty_score":0.81953,"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."}}