{"id":"W2606139354","doi":"10.1002/jctb.5306","title":"Effect of embedded activated carbon nanoparticles on the performance of polydimethylsiloxane (PDMS) membrane for pervaporation separation of butanol","year":2017,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Membrane Separation and Gas Transport","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pervaporation; Membrane; Polydimethylsiloxane; Chemical engineering; Butanol; Materials science; Chromatography; Activated carbon; Nanoparticle; Chemistry; Organic chemistry; Permeation; Nanotechnology; Adsorption; Ethanol","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":[0.0001723333,0.0004147465,0.0001966388,0.000135916,0.0001752189,0.0002713716,0.0001441145,0.0003327181,0.0007575221],"category_scores_gemma":[0.0003053012,0.0001978693,0.0002381347,0.0001057917,0.0001603662,0.0003026417,0.0001297821,0.000321032,0.0001994547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002878442,"about_ca_system_score_gemma":0.0001545873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008737235,"about_ca_topic_score_gemma":0.001473885,"domain_scores_codex":[0.9998698,0.00001535187,0.0000133953,0.00002867164,0.00004161491,0.00003115508],"domain_scores_gemma":[0.9997775,0.00007907463,0.00004818607,0.00001378721,0.00005363316,0.00002784915],"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":[0.00005981077,0.00001174609,0.0000627379,0.00003109827,0.000004232658,0.00001715599,0.00000887985,0.0001184614,0.9992854,0.0000111018,0.000007821239,0.0003815423],"study_design_scores_gemma":[0.000001653327,0.00005188357,0.000483016,0.000001486843,0.000005306259,0.000009179917,0.000004772694,0.0003815138,0.9989671,0.000002473695,0.00008943363,0.000002154671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984784,0.0003812314,0.0006129117,0.00002531144,0.00001607904,0.000006762825,0.00007226598,0.00002021085,0.0003869846],"genre_scores_gemma":[0.9979322,0.0003219251,0.001155321,0.00001279495,0.000003899534,0.000008905157,0.00006263926,0.00001012294,0.0004920944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008737235,"threshold_uncertainty_score":0.002534151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0087778356507648,"score_gpt":0.2640054497575348,"score_spread":0.25522761410677,"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."}}