{"id":"W4213016206","doi":"10.2139/ssrn.4030607","title":"Extending Pore Network Models to Include Electrical Double Layer Effects in Micropores for Studying Capacitive Deionization","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Capacitive deionization; Materials science; Capacitive sensing; Layer (electronics); Nanotechnology; Electrical engineering; Engineering; Physics; Electrochemistry; Electrode","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001774917,0.0002043387,0.0002641495,0.0004175498,0.0004505422,0.00006201199,0.0002535744,0.00006647607,0.00001626062],"category_scores_gemma":[0.00002256949,0.0002261349,0.00008530713,0.000799011,0.00000921586,0.0002548827,0.00005855053,0.001401382,0.000002202529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002925746,"about_ca_system_score_gemma":0.0004041739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002275009,"about_ca_topic_score_gemma":0.0001720973,"domain_scores_codex":[0.9972073,0.0001264827,0.0004138621,0.000235013,0.0003171734,0.001700115],"domain_scores_gemma":[0.9994877,0.0001276683,0.00008801229,0.0001299068,0.00007677597,0.00008991134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000222216,0.0000491135,0.0002141178,0.00001984047,0.00007250845,0.000009073317,0.0006687793,0.9094476,0.01084902,0.07290217,0.001013187,0.004532391],"study_design_scores_gemma":[0.005590346,0.002060742,0.0001565762,0.0001344323,0.00009400019,0.0006660581,0.001719686,0.4720567,0.05660368,0.456392,0.003245313,0.001280505],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3128358,0.001892862,0.6834551,0.0001084107,0.0002308167,0.001012962,0.000003763901,0.0002245647,0.0002356649],"genre_scores_gemma":[0.9962313,0.0002920862,0.00247387,0.0001421938,0.0002346909,0.000408638,0.00002950723,0.00007431156,0.0001134304],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6833954,"threshold_uncertainty_score":0.9221513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02155883399804548,"score_gpt":0.2650885440604268,"score_spread":0.2435297100623813,"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."}}