{"id":"W4387830214","doi":"10.2139/ssrn.4607697","title":"Comparison Study of Modeling and Predicting of Water Production by Capacitive Deionization Method","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Capacitive deionization; Production (economics); Environmental science; Process engineering; Capacitive sensing; Materials science; Engineering; Chemistry; Electrical engineering; Desalination; Economics","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":[0.0003862375,0.0007842746,0.0004760682,0.0003688628,0.0003346156,0.0006620551,0.0007568626,0.0008920978,0.0009504964],"category_scores_gemma":[0.000972442,0.0002298501,0.0007042143,0.0004034911,0.0001437965,0.0006820741,0.0002509914,0.0004262656,0.000206879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005349136,"about_ca_system_score_gemma":0.000391094,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01165524,"about_ca_topic_score_gemma":0.004733061,"domain_scores_codex":[0.9998407,0.00003922899,0.000009455973,0.00004893426,0.00004292459,0.00001871838],"domain_scores_gemma":[0.9994294,0.0003745961,0.00002199145,0.00003762905,0.0001248856,0.00001146859],"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":[0.0004815192,0.0002266255,0.007116287,0.0002776756,0.0001139807,0.0001610704,0.0001005263,0.9216022,0.03189674,0.001138703,0.0005506266,0.03633389],"study_design_scores_gemma":[0.000008569103,0.00008132535,0.0008961128,0.000003638276,0.00001820287,0.00001223374,0.00001294514,0.9889894,0.009603795,0.0001402897,0.0002267111,0.000006762627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8828065,0.001152103,0.1063506,0.0002582386,0.00009751155,0.000076707,0.0004369281,0.0007603095,0.008061096],"genre_scores_gemma":[0.9937542,0.000243934,0.004789318,0.00001695281,0.00001014801,0.00002303967,0.00009911824,0.00003109903,0.00103217],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01165524,"threshold_uncertainty_score":0.02317482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.030321527609576,"score_gpt":0.3154128696676581,"score_spread":0.2850913420580821,"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."}}