{"id":"W4410495867","doi":"10.1016/j.ces.2025.121886","title":"Enhancing VOCs/N2 separation by embedding VOC-philic bis(2-ethylhexyl) adipate into polydimethylsiloxane matrix to form oleogel membranes","year":2025,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adipate; Polydimethylsiloxane; Membrane; Chemistry; Chemical engineering; Matrix (chemical analysis); Chromatography; Materials science; Organic chemistry; Polymer chemistry; Biochemistry","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":[0.0001228567,0.0003085036,0.0001006961,0.0001094568,0.0001172205,0.0001979991,0.0001276659,0.0002014518,0.0007442215],"category_scores_gemma":[0.0001059818,0.0001244771,0.0001556396,0.00008367354,0.0001429982,0.0003479094,0.000218829,0.0002487672,0.0002354629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001952172,"about_ca_system_score_gemma":0.0001278292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000505733,"about_ca_topic_score_gemma":0.001611769,"domain_scores_codex":[0.9999248,0.00000734789,0.000005195162,0.000018531,0.00002031679,0.00002379264],"domain_scores_gemma":[0.9999533,0.00001159629,0.00001323132,0.000004428828,0.000009415219,0.00000807428],"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":[0.00001082407,0.000002953052,0.0000195879,0.00001070005,0.000001007829,0.00001167742,0.000005021208,0.00003649724,0.9995276,0.00002956889,0.000009260824,0.0003353618],"study_design_scores_gemma":[9.030792e-7,0.00001045604,0.0001450795,7.852257e-7,0.000001059685,0.000009226486,0.000003025394,0.0002457339,0.999188,0.000004605961,0.0003901178,9.241214e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882281,0.0004160936,0.00824515,0.00007468248,0.00003357066,0.00002272684,0.0001594664,0.0001097962,0.002710331],"genre_scores_gemma":[0.991117,0.0003459707,0.005727767,0.00004395086,0.000009147665,0.00001927709,0.0001289218,0.00002821446,0.002579842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007442215,"threshold_uncertainty_score":0.002489686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004093001381554057,"score_gpt":0.2690793619072621,"score_spread":0.2649863605257081,"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."}}