{"id":"W2325954163","doi":"10.1021/sc500481k","title":"Iodine Treatment of Lignin–Cellulose Acetate Electrospun Fibers: Enhancement of Green Fiber Carbonization","year":2014,"lang":"en","type":"article","venue":"ACS Sustainable Chemistry & Engineering","topic":"Fiber-reinforced polymer composites","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Networks of Centres of Excellence of Canada; Ministero dello Sviluppo Economico; Ontario Ministry of Economic Development and Innovation; Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Carbonization; Polyacrylonitrile; Materials science; Lignin; Biopolymer; Fiber; Cellulose; Chemical engineering; Cellulose fiber; Cellulose acetate; Electrospinning; Scanning electron microscope; Composite material; Organic chemistry; Chemistry; Polymer","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000773045,0.0003533599,0.0004305479,0.00009370548,0.00002694694,0.00001872823,0.0001985256,0.0001282275,0.00006651941],"category_scores_gemma":[0.00002590298,0.0003901001,0.0001022401,0.0003627752,0.00003014064,0.0001427827,0.00004923714,0.00009917236,0.00000525234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003468321,"about_ca_system_score_gemma":0.00003567098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001051698,"about_ca_topic_score_gemma":3.197558e-7,"domain_scores_codex":[0.9985256,0.000006699053,0.0004655374,0.0002277537,0.0002058062,0.0005685852],"domain_scores_gemma":[0.9991363,0.00006787586,0.00009884663,0.000446167,0.0001466049,0.0001042291],"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":[0.000009958826,0.00003137407,0.00003699822,0.001421838,0.0001485864,0.000005783144,0.0004830907,0.1388541,0.8582662,0.0001191338,0.00008667906,0.0005362238],"study_design_scores_gemma":[0.0005849682,0.0001165172,0.00001367503,0.00006206619,0.00007119455,0.000005392746,0.00005647387,0.04918318,0.9443029,0.00001954707,0.005287314,0.0002968361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861009,0.001862734,0.005248428,0.00002768421,0.00006175256,0.0002911687,0.000006057486,0.000286767,0.006114514],"genre_scores_gemma":[0.9862018,0.00008415191,0.001697328,0.000002496829,0.0000934841,0.0000525595,0.00007368682,0.00007926488,0.01171525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08967095,"threshold_uncertainty_score":0.9998551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002670811247403501,"score_gpt":0.1690816805445387,"score_spread":0.1664108692971352,"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."}}