{"id":"W2893705809","doi":"10.22079/jmsr.2020.119481.1319","title":"Effect of Surface Modification with Electrospun Nanofibers on the Performance of an Ultrafiltration Membrane","year":2020,"lang":"en","type":"article","venue":"Journal of membrane science and research","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Nanofiber; Electrospinning; Membrane; Ultrafiltration (renal); Polyvinylidene fluoride; Chemical engineering; Materials science; Permeation; Surface modification; Coating; Filtration (mathematics); Contact angle; Scanning electron microscope; Polymer chemistry; Composite material; Polymer; Chromatography; Chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01111691,0.00009935073,0.0002486485,0.0001592084,0.0003613961,0.00006619936,0.0008648837,0.00004993592,0.0000274185],"category_scores_gemma":[0.0003337568,0.00005016581,0.00002998746,0.001950452,0.002174382,0.0004805919,0.00003672539,0.0003249555,0.000004458664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005278984,"about_ca_system_score_gemma":0.0005412277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000114931,"about_ca_topic_score_gemma":8.736396e-7,"domain_scores_codex":[0.9961601,0.000373437,0.0004069385,0.0002466794,0.00248579,0.0003270607],"domain_scores_gemma":[0.9974257,0.0007511336,0.0003308294,0.0002627833,0.001018988,0.0002105265],"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":[0.0006337152,0.00005641361,0.00008440584,0.000107086,0.000004714228,8.608268e-7,0.0004065586,0.0002670981,0.9969024,0.0005224001,0.0000371825,0.000977147],"study_design_scores_gemma":[0.0003921761,0.007407099,0.0002889898,0.00006966126,0.00001157383,0.00002758541,0.00009498046,0.002718574,0.9888641,0.00002594102,0.00004503435,0.00005428698],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955181,0.00005143774,0.0001176283,0.003710943,0.00003015582,0.0003311317,0.000003456682,0.000005932552,0.000231194],"genre_scores_gemma":[0.9979295,0.000206465,0.001725314,0.00006091662,0.00005015201,0.000005195368,8.012492e-7,0.00000693136,0.00001469275],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01078316,"threshold_uncertainty_score":0.8011602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669832605335782,"score_gpt":0.329309205471925,"score_spread":0.3026108794185672,"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."}}