{"id":"W2497519892","doi":"10.1002/app.44172","title":"Morphologies of electrospun fibers of lignin in poly(ethylene oxide)/N,N‐dimethylformamide","year":2016,"lang":"en","type":"article","venue":"Journal of Applied Polymer Science","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; Alberta Innovates; University of Alberta","funders":"Alberta Innovates Bio Solutions; Alberta Innovates - Technology Futures; National Institute for Nanotechnology","keywords":"Ethylene oxide; Electrospinning; Materials science; Nanofiber; Morphology (biology); Polymer chemistry; Fiber; Chemical engineering; Volume fraction; Molar mass distribution; Oxide; Polymer; Composite material; Copolymer","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002473892,0.0001855121,0.0005365114,0.0006624472,0.00008028252,0.00002127477,0.001614562,0.000109611,0.00006800618],"category_scores_gemma":[0.00006466185,0.000118296,0.0001061441,0.001805139,0.002434326,0.0004309051,0.000200791,0.0001769402,0.00001673399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001728699,"about_ca_system_score_gemma":0.0006842489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005235983,"about_ca_topic_score_gemma":0.000004680126,"domain_scores_codex":[0.9966354,0.00003757333,0.001242833,0.0003220593,0.001144297,0.0006178867],"domain_scores_gemma":[0.9974867,0.0003729217,0.001248971,0.0004617781,0.0002413288,0.000188274],"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":[0.00008248795,0.0001288562,0.0004491648,0.00001220843,0.000006194291,0.000002761466,0.0001723914,9.372037e-7,0.9864493,0.006107826,0.0001927943,0.006395098],"study_design_scores_gemma":[0.0006160024,0.0002557412,0.002478583,0.000074389,0.0000146062,0.00003526092,0.00009771639,0.00000348867,0.9923785,0.003833656,0.00007314313,0.0001389058],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934257,0.001240911,0.00283062,0.0007883173,0.0001765679,0.0001427566,0.00001254758,0.00001644978,0.001366076],"genre_scores_gemma":[0.9673377,0.0001729276,0.03224827,0.0001181506,0.00003766677,0.000009449262,1.896296e-7,0.00001167023,0.00006397868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02941765,"threshold_uncertainty_score":0.8969377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006280937676514516,"score_gpt":0.2436988294089926,"score_spread":0.2374178917324781,"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."}}