{"id":"W4366492264","doi":"10.11159/iceptp23.107","title":"Evaluation of Monovalent and Divalent Ions Removal Characteristics Using Membrane Capacitive Deionization (MCDI) Circulation Process","year":2023,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Civil, Structural, and Environmental Engineering","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Capacitive deionization; Divalent; Membrane; Process (computing); Ion; Adsorption; Chemical engineering; Materials science; Capacitive sensing; Chemistry; Inorganic chemistry; Computer science; Metallurgy; Engineering; Desalination; Physical chemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003023043,0.0002011842,0.0002176496,0.0002483777,0.00009257544,0.000029167,0.00009910904,0.00005834133,0.00002087271],"category_scores_gemma":[0.00005794074,0.0001835353,0.00003905571,0.0003064248,0.00008402493,0.0002498564,0.00004664241,0.0001252161,4.040182e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001312034,"about_ca_system_score_gemma":0.000006938591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002824271,"about_ca_topic_score_gemma":0.000001684781,"domain_scores_codex":[0.9987543,0.000009457962,0.0003460524,0.0001993424,0.0005309413,0.0001599621],"domain_scores_gemma":[0.9995939,0.00003434404,0.0001601767,0.00008851083,0.00007223519,0.00005082142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002138773,0.00001305388,0.003498619,0.0008236381,0.00009887185,4.787578e-7,0.0006506215,0.2732239,0.7180343,0.0009607032,0.000019118,0.002655274],"study_design_scores_gemma":[0.0002828208,0.00001500759,0.02866919,0.0002787265,0.0001007752,0.00001311388,0.0001273712,0.7219898,0.2481471,0.000190564,0.00001493366,0.0001706573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987662,0.00007639101,0.0001370946,0.00002021929,0.0002686239,0.0004460902,0.00004882965,0.0001270331,0.0001095196],"genre_scores_gemma":[0.9993877,0.0001433259,0.000326758,0.000004828195,0.00003059008,0.00002705979,0.00002197485,0.00003486083,0.00002289591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4698872,"threshold_uncertainty_score":0.7484353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01856436553212003,"score_gpt":0.2401541883705357,"score_spread":0.2215898228384157,"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."}}