{"id":"W4382051634","doi":"10.1016/j.matpr.2023.06.170","title":"Graphene oxide electrode for unusual water softening in capacitive deionization","year":2023,"lang":"en","type":"article","venue":"Materials Today Proceedings","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Capacitive deionization; Desalination; Materials science; Graphene; Adsorption; Brackish water; Electrode; Chemical engineering; Oxide; Water treatment; Environmental science; Environmental engineering; Nanotechnology; Chemistry; Salinity; Metallurgy; Membrane","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001728672,0.0004230578,0.0002114545,0.0002473725,0.0002695082,0.0003412412,0.0005712678,0.0006169269,0.001303835],"category_scores_gemma":[0.0002426876,0.0001651605,0.0001981776,0.0001853692,0.0002778489,0.000480726,0.0004431806,0.000773144,0.0003580258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087141,"about_ca_system_score_gemma":0.000111824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002071749,"about_ca_topic_score_gemma":0.0008330687,"domain_scores_codex":[0.9998592,0.00001722798,0.000006301922,0.00003526541,0.00005136237,0.00003056717],"domain_scores_gemma":[0.9999185,0.0000296126,0.00001086643,0.00001222475,0.0000117042,0.00001715062],"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":[0.00003897843,0.00001372278,0.00004130286,0.00006217727,0.000006110355,0.0001007126,0.00003610062,0.00006674948,0.9947743,0.0004495316,0.0001938112,0.004216425],"study_design_scores_gemma":[0.000003386361,0.00005924729,0.000222566,0.000003285778,0.000004969238,0.00006773426,0.00001595642,0.000586847,0.9968036,0.0001081726,0.002118874,0.000005284165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.940872,0.006883644,0.03651912,0.001336693,0.0006021243,0.0001094883,0.0003612686,0.0006023386,0.01271344],"genre_scores_gemma":[0.9851952,0.001413051,0.009457652,0.0002226061,0.0000491789,0.00002161387,0.0001231226,0.00004599593,0.003471508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001303835,"threshold_uncertainty_score":0.004361689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121982985569027,"score_gpt":0.2330086922078054,"score_spread":0.2208103936509027,"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."}}