{"id":"W2946580659","doi":"10.3390/fib7050048","title":"A Spectroscopic Study of Solid-Phase Chitosan/Cyclodextrin-Based Electrospun Fibers","year":2019,"lang":"en","type":"article","venue":"Fibers","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chitosan; Differential scanning calorimetry; Thermogravimetric analysis; Electrospinning; Thermal stability; Chemical engineering; Materials science; Trifluoroacetic acid; Ternary operation; Nanofiber; Solvent; Fiber; Cyclodextrin; Polymer chemistry; Gravimetric analysis; Supramolecular chemistry; Polymer; Chemistry; Organic chemistry; Nanotechnology; Composite material; Molecule; Thermodynamics","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":[0.0001694919,0.0002835423,0.0001048269,0.00043242,0.0002090917,0.000134419,0.0001578567,0.000308004,0.001295448],"category_scores_gemma":[0.000253635,0.0001029391,0.0001439707,0.0002141734,0.0002089223,0.0003250929,0.0001035969,0.0002583823,0.0001675008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001691365,"about_ca_system_score_gemma":0.0001305534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005457722,"about_ca_topic_score_gemma":0.0006831354,"domain_scores_codex":[0.9998796,0.0000112971,0.000007639698,0.00003579325,0.00004765286,0.00001795943],"domain_scores_gemma":[0.9997116,0.00008116032,0.00007650039,0.00001427528,0.00008596815,0.00003057543],"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":[0.00001383733,0.000007465211,0.00007186885,0.00001960647,0.000001497044,0.00001832685,0.000008809549,0.00003457552,0.9991374,0.00002005765,0.000008542973,0.0006579465],"study_design_scores_gemma":[0.000002359925,0.00004727594,0.002089737,0.000003752057,0.000004380747,0.00009525516,0.00002191648,0.0006949832,0.9964965,0.00001919827,0.0005204851,0.000004151779],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812541,0.001526075,0.01428234,0.00005894048,0.00004175267,0.00004397081,0.000258616,0.00008733056,0.002446742],"genre_scores_gemma":[0.9880087,0.0006537192,0.00956003,0.00004405419,0.00001288763,0.00002975663,0.0001996757,0.00002011354,0.001471061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001295448,"threshold_uncertainty_score":0.004333675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008044278084457856,"score_gpt":0.3107275694256831,"score_spread":0.3026832913412253,"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."}}