{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001777667,0.0002297083,0.00007527713,0.0002447288,0.0001069677,0.0001696675,0.0001108195,0.0001951575,0.0006603225],"category_scores_gemma":[0.0002703923,0.0001220977,0.00009427311,0.0001676991,0.000143115,0.0002420627,0.0000828122,0.0001888394,0.0001000559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001406855,"about_ca_system_score_gemma":0.00007577524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004050552,"about_ca_topic_score_gemma":0.0007473831,"domain_scores_codex":[0.9999207,0.000007115179,0.000007815881,0.00002267396,0.00002885192,0.00001282195],"domain_scores_gemma":[0.999761,0.00006561246,0.00008853143,0.00001271639,0.00003612027,0.0000360066],"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":[0.00002822896,0.000007597918,0.0001339243,0.00001710437,0.000002051462,0.00003534083,0.00001859993,0.000127543,0.9987025,0.00002735862,0.00000814509,0.0008915567],"study_design_scores_gemma":[0.000009739088,0.0001579385,0.0118739,0.00001159229,0.000008793517,0.00008684246,0.0000263072,0.0009157595,0.9862132,0.00003514369,0.0006554951,0.000005288671],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954875,0.0003482049,0.002824649,0.00001624496,0.00001057269,0.00002018066,0.0001846081,0.00005026683,0.00105772],"genre_scores_gemma":[0.992777,0.0002833093,0.004806509,0.00002456997,0.000005653897,0.0000251351,0.000274275,0.00002951573,0.001774056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006603225,"threshold_uncertainty_score":0.002209008,"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."}}