{"id":"W2081562772","doi":"10.1002/aic.10161","title":"Pervaporation and vacuum membrane distillation processes: Modeling and experiments","year":2004,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":181,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Membrane; Pervaporation; Chemical engineering; Membrane distillation; Polyvinylidene fluoride; Phase inversion; Polymer; Chemistry; Porosity; Hildebrand solubility parameter; Gas separation; Membrane technology; Solvent; Materials science; Porous medium; Chromatography; Polymer chemistry; Permeation; Organic chemistry; Desalination","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":[0.00009958365,0.00008562912,0.00008534209,0.0000476986,0.00009778223,0.00007447582,0.00002576383,0.00004233208,0.00001914399],"category_scores_gemma":[0.000007022079,0.00007842341,0.00001167362,0.0000642831,0.00001006055,0.0003612461,0.000002989071,0.0001092122,0.000002593911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002250769,"about_ca_system_score_gemma":0.00002359691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000326594,"about_ca_topic_score_gemma":0.000009577597,"domain_scores_codex":[0.9995319,0.000005651621,0.0001767444,0.00007571161,0.00011439,0.00009565766],"domain_scores_gemma":[0.999799,0.000004500767,0.00002328987,0.00004158341,0.00004581425,0.00008585056],"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":[0.00004323062,0.0000404896,0.001427052,0.0003653581,0.0000733784,0.00002045261,0.009256169,0.8986529,0.08752271,0.0004026156,0.00005655712,0.002139047],"study_design_scores_gemma":[0.005857688,0.0002115778,0.004794486,0.0003991154,0.0001452986,0.001108715,0.001754186,0.8556111,0.1222105,0.004874467,0.00205576,0.0009770201],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9383999,0.001259435,0.0595292,0.0001367114,0.00009361667,0.00006333805,0.000001043649,0.00005098565,0.0004658273],"genre_scores_gemma":[0.9976127,0.0009610642,0.001247146,0.00004231396,0.00009163369,0.000002360173,0.000006928518,0.00001287786,0.00002296995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05921286,"threshold_uncertainty_score":0.3198014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01804876825110516,"score_gpt":0.2390716988819167,"score_spread":0.2210229306308115,"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."}}