{"id":"W2950677114","doi":"10.1016/j.seppur.2019.115679","title":"A closer look on the development and commercialization of membrane contactors for mass transfer and separation processes","year":2019,"lang":"en","type":"article","venue":"Separation and Purification Technology","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":30,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Centre in Green Chemistry and Catalysis","keywords":"Commercialization; Contactor; Desalination; Modularity (biology); Process engineering; Modular design; Scale (ratio); Mass transfer; Environmental science; Engineering; Computer science; Business; Membrane; Chemistry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002637221,0.000646259,0.0007025757,0.00177652,0.00102606,0.00435583,0.0008791077,0.002626524,0.006161159],"category_scores_gemma":[0.002876209,0.0003360403,0.0009430076,0.001509485,0.000882521,0.006729252,0.001052374,0.004183304,0.002078639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0022692,"about_ca_system_score_gemma":0.00237038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003133365,"about_ca_topic_score_gemma":0.004580771,"domain_scores_codex":[0.9978518,0.0003246975,0.0001666577,0.0002615131,0.001165263,0.0002300964],"domain_scores_gemma":[0.9978285,0.0005311471,0.0002187441,0.0001386792,0.001152623,0.0001302327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005380218,0.0005806627,0.00384476,0.004677723,0.0001153056,0.001409108,0.0010139,0.001452414,0.4081281,0.04035999,0.02287654,0.5150035],"study_design_scores_gemma":[0.00002735134,0.0008653285,0.006773448,0.0008359487,0.00006544534,0.001630067,0.001278418,0.002087457,0.1551237,0.006552354,0.8246632,0.00009718379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.17539,0.5112963,0.09831166,0.08508046,0.005594014,0.0005516117,0.0008163834,0.000757332,0.1222023],"genre_scores_gemma":[0.2729828,0.4556208,0.1354208,0.02379106,0.001922969,0.0001652554,0.001590084,0.0005716118,0.1079346],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006161159,"threshold_uncertainty_score":0.02061111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01802821862149164,"score_gpt":0.2671256436302061,"score_spread":0.2490974250087144,"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."}}