{"id":"W4388478855","doi":"10.1021/acsaenm.3c00550","title":"Superhydrophilic Electrospun Polyamide-Imide Membranes for Efficient Oil/Water Separation under Gravity","year":2023,"lang":"en","type":"article","venue":"ACS Applied Engineering Materials","topic":"Surface Modification and Superhydrophobicity","field":"Materials Science","cited_by":11,"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; Electrospinning; Materials science; Polyamide; Chemical engineering; Superhydrophilicity; Porosity; Emulsion; Fouling; Filtration (mathematics); Polymer; Polymer chemistry; Composite material; Contact angle; Chemistry","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":[0.0001784551,0.0004137766,0.0001870558,0.0002249399,0.0001529063,0.0001603728,0.0002301951,0.0003474047,0.0005276132],"category_scores_gemma":[0.0001761937,0.0001501336,0.0002711487,0.0001423049,0.0001368702,0.0004797505,0.0002887983,0.0004735371,0.0002431264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001934063,"about_ca_system_score_gemma":0.0001735542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004157226,"about_ca_topic_score_gemma":0.0009600592,"domain_scores_codex":[0.9998879,0.00001251981,0.00001031665,0.0000224456,0.00004392691,0.00002269845],"domain_scores_gemma":[0.9999149,0.00001551414,0.00003088052,0.000006762803,0.00001846674,0.00001351041],"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":[0.000007001721,0.000005938352,0.00001529063,0.00001815873,0.000001570998,0.00001667119,0.000003965109,0.0000554031,0.9990313,0.00002865519,0.00001155523,0.0008044112],"study_design_scores_gemma":[0.000002729041,0.00003747266,0.0002985816,0.000001969736,0.000003179291,0.00003916759,0.00000537289,0.0007980467,0.9982195,0.00001669787,0.0005744457,0.00000269895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646845,0.002005356,0.03076746,0.00012306,0.00004650428,0.00005330674,0.0001649443,0.0002462158,0.001908675],"genre_scores_gemma":[0.9719048,0.001413007,0.02426882,0.00004989147,0.00002463359,0.00006642887,0.0001677693,0.00004058145,0.002064029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005276132,"threshold_uncertainty_score":0.001765072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0146170767323444,"score_gpt":0.2436311982589939,"score_spread":0.2290141215266495,"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."}}