{"id":"W3200913026","doi":"10.32393/csme.2021.5","title":"Enhancing The Mechanical Strength Of Electrospun Nanofiber Membrane By In-Situ Polymerization","year":2021,"lang":"en","type":"article","venue":"Progress in Canadian Mechanical Engineering. Volume 4","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nanofiber; Electrospinning; Membrane; In situ polymerization; Materials science; In situ; Polymerization; Mechanical strength; Composite material; Polymer chemistry; Polymer; Nanotechnology; Chemistry; Organic chemistry","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":[0.000291675,0.0003982877,0.0001493226,0.0002791106,0.0001969054,0.000186295,0.0001557159,0.0003194234,0.001150867],"category_scores_gemma":[0.0002888206,0.0001428136,0.000209539,0.0001408315,0.0001337249,0.0004483966,0.0001432358,0.0004014581,0.0002757769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000206271,"about_ca_system_score_gemma":0.0001456328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001941739,"about_ca_topic_score_gemma":0.0004776972,"domain_scores_codex":[0.999869,0.00001876996,0.00001049665,0.00003047142,0.00004967917,0.00002158591],"domain_scores_gemma":[0.999822,0.00005432153,0.0000666666,0.000007018017,0.00003197293,0.00001821578],"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":[0.000008255857,0.000009105691,0.00002032123,0.00003883011,0.00000251141,0.00002176525,0.000005879552,0.00006485639,0.9985328,0.000045056,0.00001934199,0.00123135],"study_design_scores_gemma":[0.00000322239,0.00005116721,0.0004957419,0.000005851171,0.00000520838,0.00004839953,0.000006439254,0.0004909511,0.9977695,0.0000345162,0.001086035,0.000002971998],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9508236,0.009265487,0.03060447,0.0004260003,0.0001344928,0.00006801829,0.0002208126,0.0001730615,0.008283938],"genre_scores_gemma":[0.9767179,0.004648794,0.01420714,0.0001105513,0.00005441206,0.00005055324,0.0001645611,0.00003726336,0.004008965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001150867,"threshold_uncertainty_score":0.003850043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003369320951460195,"score_gpt":0.2105262066218293,"score_spread":0.2071568856703691,"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."}}