{"id":"W4386169439","doi":"10.1021/acsami.3c09964","title":"“Biomass to Membrane”: Sulfonated Kraft Lignin/PCL Superhydrophilic Electrospun Membrane for Gravity-Driven Oil-in-Water Emulsion Separation","year":2023,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Science and Engineering Research Board; Natural Sciences and Engineering Research Council of Canada; Canada's Oil Sands Innovation Alliance; University of Alberta","keywords":"Membrane; Materials science; Chemical engineering; Contact angle; Superhydrophilicity; Emulsion; Filtration (mathematics); Fouling; Zeta potential; Chromatography; Composite material; Chemistry; Nanotechnology","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":[0.0001308428,0.0004447891,0.0001484122,0.0002038378,0.0001353302,0.000179899,0.0002653097,0.0004658067,0.0008338693],"category_scores_gemma":[0.0001386694,0.0001261104,0.0002570013,0.0001821422,0.0001315531,0.0004234066,0.0002681188,0.0003111328,0.0005291904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002414544,"about_ca_system_score_gemma":0.0001780754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003843276,"about_ca_topic_score_gemma":0.0007008026,"domain_scores_codex":[0.9998763,0.00001402294,0.00001114165,0.00003473069,0.00003675056,0.00002722779],"domain_scores_gemma":[0.9999347,0.000005941783,0.00002793571,0.000005498716,0.0000142105,0.00001181338],"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":[0.000008556909,0.000006775614,0.00002697618,0.00003533266,0.00000216603,0.00002874734,0.000004318268,0.00003817374,0.9988841,0.00003840559,0.00001952106,0.0009069178],"study_design_scores_gemma":[0.000002218966,0.00003773781,0.0002521709,0.000001929416,0.000003235283,0.00005264087,0.000003985262,0.0005414286,0.9984007,0.000008642863,0.0006934009,0.0000019078],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666098,0.001497796,0.02864655,0.0002311523,0.00007782081,0.00007049498,0.0002370583,0.0004609172,0.00216849],"genre_scores_gemma":[0.9794699,0.0009506515,0.01541826,0.0001531286,0.00002314963,0.00004595917,0.0002568288,0.00003683742,0.003645461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008338693,"threshold_uncertainty_score":0.002789557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01951905792040532,"score_gpt":0.2835762289717069,"score_spread":0.2640571710513016,"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."}}