{"id":"W3092029750","doi":"10.1016/j.desal.2020.114768","title":"Electrohydrodynamic water desalination: Evaluating the productivity and energy consumption","year":2020,"lang":"en","type":"article","venue":"Desalination","topic":"Electrohydrodynamics and Fluid Dynamics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Amirkabir University of Technology","keywords":"Desalination; Electrohydrodynamics; Energy consumption; Productivity; Water desalination; Environmental science; Consumption (sociology); Environmental engineering; Engineering; Economics; Chemistry; Electrical engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003596472,0.0001553898,0.0001207445,0.0000588746,0.0001587663,0.00007719095,0.0001010119,0.00007779753,0.00001067131],"category_scores_gemma":[0.00004944971,0.0001159333,0.0000322272,0.0001735016,0.00004562851,0.000213708,0.00002857253,0.0001689703,0.00001138806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009346582,"about_ca_system_score_gemma":0.00001109717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007611605,"about_ca_topic_score_gemma":0.00003742808,"domain_scores_codex":[0.9990132,0.00007644012,0.0002086183,0.0002400711,0.0002152946,0.0002463434],"domain_scores_gemma":[0.9996432,0.00004489801,0.00003111222,0.0001419086,0.0000824564,0.00005642208],"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":[0.00003161487,0.00002299038,0.0006130844,0.0001124442,0.00006763032,0.000002183975,0.0009225084,0.06563013,0.8408567,0.04218032,0.00006593614,0.04949446],"study_design_scores_gemma":[0.000201479,0.00009964004,0.001502434,0.000005116761,0.00002858048,0.00001095655,0.000004895686,0.9846929,0.01150949,0.001524925,0.0002577477,0.0001617765],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9172341,0.0003420094,0.07973497,0.001786687,0.0001286154,0.0001325967,0.000003950308,0.0002777649,0.0003593598],"genre_scores_gemma":[0.9989369,0.0001272606,0.0004038196,0.0001316871,0.0001571159,0.00003914876,0.0001160399,0.00003710442,0.00005093237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9190629,"threshold_uncertainty_score":0.4727623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01628827832327599,"score_gpt":0.2385074411908992,"score_spread":0.2222191628676232,"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."}}