{"id":"W2955412281","doi":"10.1016/j.memsci.2019.117215","title":"Superhydrophobic nanofibers electrospun by surface segregating fluorinated amphiphilic additive for membrane distillation","year":2019,"lang":"en","type":"article","venue":"Journal of Membrane Science","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":79,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Ministerio de Economía y Competitividad","keywords":"Membrane distillation; Polysulfone; Nanofiber; Wetting; Materials science; Electrospinning; Membrane; Chemical engineering; Permeation; Surface modification; Amphiphile; Polymer; Contact angle; Polymer chemistry; Composite material; Desalination; Chemistry; Copolymer","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001341117,0.0003243035,0.0001611092,0.0002641187,0.0002312342,0.0001731896,0.0001561502,0.0003434966,0.001086448],"category_scores_gemma":[0.0001203953,0.0001739905,0.0001761902,0.0001032011,0.0001324954,0.000410543,0.0001987603,0.0004526111,0.0003650396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001896456,"about_ca_system_score_gemma":0.0001601698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003597332,"about_ca_topic_score_gemma":0.001389819,"domain_scores_codex":[0.9998951,0.000009279624,0.000006103372,0.00002343384,0.00004096003,0.00002504149],"domain_scores_gemma":[0.9999248,0.00001536511,0.00002125761,0.000005423578,0.00001921941,0.0000140116],"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":[0.00001152539,0.000005068259,0.00001136254,0.00001254881,0.00000132095,0.0000180715,0.000005345863,0.00002699577,0.999293,0.00004233936,0.00002409805,0.00054824],"study_design_scores_gemma":[0.000002129297,0.00002317929,0.0001846041,0.000001426346,0.000002462428,0.00002062496,0.000003540703,0.0003473888,0.9989053,0.00001060494,0.0004967044,0.000002059491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9830209,0.001256075,0.01214666,0.0001542102,0.00007636362,0.00003609443,0.0001796632,0.0002206285,0.002909304],"genre_scores_gemma":[0.9877887,0.0005812477,0.007773116,0.0000715466,0.00003179066,0.00003163587,0.0001129532,0.00003426361,0.003574783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001086448,"threshold_uncertainty_score":0.003634512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004541728062217005,"score_gpt":0.2417501050572113,"score_spread":0.2372083769949943,"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."}}