{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001316299,0.0004931843,0.0001441093,0.0003792043,0.0001287567,0.0002031256,0.0001867147,0.0002857674,0.0007755657],"category_scores_gemma":[0.000155394,0.0001657172,0.0002601822,0.0002187391,0.0001741042,0.0002416845,0.0001559444,0.0003101329,0.0001415434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805205,"about_ca_system_score_gemma":0.0001684416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001176915,"about_ca_topic_score_gemma":0.002561216,"domain_scores_codex":[0.9998989,0.000006331215,0.000004681622,0.00002721216,0.00003369354,0.00002912895],"domain_scores_gemma":[0.9998893,0.00002531305,0.00003345857,0.000007829347,0.00002384772,0.00002025683],"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":[0.00000828222,0.000002558714,0.00002774237,0.000008718219,9.378547e-7,0.00001409393,0.000005266302,0.00002064233,0.9995379,0.00001177244,0.000004438271,0.0003575929],"study_design_scores_gemma":[0.000001131184,0.00001812557,0.0006906342,7.214322e-7,0.000001703928,0.0000156539,0.00000295066,0.0002073093,0.9989092,0.000003727618,0.00014747,0.000001440348],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9877244,0.000699692,0.009000462,0.0000364915,0.00001963413,0.00003149252,0.0001410112,0.0001841328,0.002162614],"genre_scores_gemma":[0.9883621,0.0004767399,0.008630987,0.00002335453,0.000006846219,0.0000198956,0.0001310982,0.00004819933,0.002300806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001176915,"threshold_uncertainty_score":0.002594531,"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."}}