{"id":"W1986761807","doi":"10.5539/jsd.v2n3p183","title":"Application of Vacuum Membrane Distillation in Water Treatment","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Membrane Separation Technologies","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Membrane distillation; Distillation; Biochemical engineering; Vacuum distillation; Membrane; Process engineering; Environmental science; Computer science; Chemistry; Chromatography; Engineering; Desalination","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056413,0.0003995004,0.0004438357,0.0006046566,0.0005726841,0.0006906337,0.0003820895,0.0005847664,0.0006915553],"category_scores_gemma":[0.0003431868,0.0002173193,0.0004453315,0.0005747262,0.0005850928,0.001063223,0.0006203422,0.0009102612,0.0002709647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00058283,"about_ca_system_score_gemma":0.0004619813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000819301,"about_ca_topic_score_gemma":0.00160576,"domain_scores_codex":[0.9996302,0.000080734,0.00002054319,0.00007624392,0.0001443885,0.00004790152],"domain_scores_gemma":[0.9998982,0.00004121771,0.00001261693,0.000008683946,0.00003248873,0.00000665853],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009453453,0.00005463876,0.001324687,0.002067347,0.00005404991,0.0003353766,0.0001463297,0.00165037,0.8076875,0.013192,0.0005553883,0.1728379],"study_design_scores_gemma":[0.00000647971,0.0002697616,0.001619134,0.00008484168,0.0000441222,0.0007040629,0.00009914004,0.00323994,0.9309084,0.00189384,0.06109389,0.00003636336],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3880679,0.3000157,0.2746617,0.002710895,0.001265191,0.0002197953,0.0001848585,0.0003544314,0.03251941],"genre_scores_gemma":[0.8448582,0.09443568,0.05448042,0.0004047838,0.0003050274,0.00006612718,0.0001035484,0.0000396576,0.00530648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000819301,"threshold_uncertainty_score":0.004228771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007125788747207079,"score_gpt":0.2282006110572784,"score_spread":0.2210748223100714,"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."}}