{"id":"W2044135063","doi":"10.1021/acs.langmuir.5b00814","title":"Blending and Morphology Control To Turn Hydrophobic SEBS Electrospun Mats Superhydrophilic","year":2015,"lang":"en","type":"article","venue":"Langmuir","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Superhydrophilicity; Materials science; Electrospinning; Contact angle; Wetting; Chemical engineering; Copolymer; Biofouling; Dip-coating; Membrane; Composite material; Polymer; Coating; 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":[0.00007421362,0.0004102343,0.0001225889,0.0001798549,0.0000813256,0.000174886,0.0001238393,0.0002141451,0.0007075722],"category_scores_gemma":[0.0001101223,0.00016224,0.0001528579,0.0001256935,0.000143124,0.0002790252,0.0001694266,0.0003053268,0.0001856492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001376706,"about_ca_system_score_gemma":0.0000862838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002450919,"about_ca_topic_score_gemma":0.0006517193,"domain_scores_codex":[0.9999138,0.000006231665,0.000007850264,0.00002472296,0.00002820601,0.00001908028],"domain_scores_gemma":[0.9998825,0.0000152681,0.00005038048,0.000010293,0.00002148636,0.00002012656],"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":[0.000004254601,0.00000267962,0.0000128643,0.000004413466,6.696745e-7,0.000004951803,0.000002351111,0.00001426089,0.999743,0.000009344039,0.00000181622,0.0001992314],"study_design_scores_gemma":[0.000001939613,0.00003786597,0.000490119,8.947011e-7,0.000002106932,0.00001737744,0.000003675298,0.0002984946,0.9988475,0.000003856171,0.0002950717,0.000001124358],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939382,0.0002706776,0.004817207,0.00002465952,0.00001195749,0.00002669948,0.00006729292,0.00005334168,0.0007900019],"genre_scores_gemma":[0.9917055,0.0004075326,0.00606241,0.00002520372,0.000009883097,0.00003965015,0.0001234795,0.00003580037,0.001590378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007075722,"threshold_uncertainty_score":0.00236702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01180172986086407,"score_gpt":0.2481691663672963,"score_spread":0.2363674365064322,"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."}}