{"id":"W2481352282","doi":"10.1021/bk-2004-0876.ch021","title":"Improving the Permselectivity of Commercial Cation-Exchange Membranes for Electrodialysis Applications","year":2004,"lang":"en","type":"book-chapter","venue":"ACS symposium series","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Electrodialysis; Membrane; Polyaniline; X-ray photoelectron spectroscopy; Chemistry; Chemical engineering; Interfacial polymerization; Scanning electron microscope; Ion exchange; Adsorption; Polymerization; Inorganic chemistry; Nuclear chemistry; Materials science; Polymer; Ion; Organic chemistry; Monomer; Composite material","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00024127,0.0003957823,0.000508912,0.0002082448,0.0002526195,0.0000591928,0.0003892072,0.000343094,0.00009532105],"category_scores_gemma":[0.00001869462,0.000361037,0.000223027,0.0001160354,0.000158229,0.0002385036,0.00003923264,0.0002825416,0.00001110104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002065359,"about_ca_system_score_gemma":0.0001581363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006697224,"about_ca_topic_score_gemma":0.0002817044,"domain_scores_codex":[0.9986395,0.00001853954,0.0005197663,0.0003143906,0.0002533877,0.0002544267],"domain_scores_gemma":[0.9985157,0.0001913521,0.0002727916,0.0006653434,0.0003056903,0.0000491457],"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":[0.000234301,0.0001070113,0.00001623652,0.01171651,0.001053432,0.000001398181,0.003383517,0.00655467,0.6196552,0.3307036,0.006882783,0.01969131],"study_design_scores_gemma":[0.0003177542,0.0001681201,0.000007006999,0.00007878095,0.0004613066,0.0000100469,0.00002295856,0.0002876993,0.6887934,0.01170598,0.2974302,0.0007167068],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002285153,0.02009515,0.3375988,0.007202086,0.00181754,0.02460923,0.003634835,0.00721685,0.5955404],"genre_scores_gemma":[0.7768182,0.02358709,0.008266699,0.0007766818,0.004486232,0.01517449,0.003961706,0.001389565,0.1655394],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.774533,"threshold_uncertainty_score":0.9998842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061383166007258,"score_gpt":0.2207744753155917,"score_spread":0.2101606436555191,"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."}}