{"id":"W3173383043","doi":"10.3390/nano11071644","title":"Optimization of the Electrospun Niobium–Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Nanofiber; Response surface methodology; Materials science; Electrospinning; Central composite design; Composite material; Tungsten; Composite number; Polymer; Volumetric flow rate; Mathematics; Statistics; Thermodynamics; Metallurgy; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009033414,0.0007628534,0.0005305849,0.000350462,0.0001998162,0.0003935501,0.000407619,0.0005141385,0.0002905052],"category_scores_gemma":[0.001028256,0.0002603157,0.0004606828,0.0002653889,0.0002155627,0.0004450192,0.0002478928,0.000321969,0.0001799357],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333077,"about_ca_system_score_gemma":0.0003259342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005618631,"about_ca_topic_score_gemma":0.001443703,"domain_scores_codex":[0.9991729,0.0001191679,0.00008345916,0.0002435365,0.0003357508,0.00004511189],"domain_scores_gemma":[0.9995648,0.0001772142,0.0001168546,0.00002481658,0.00009862513,0.00001752283],"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":[0.00004207777,0.00004267886,0.0001347745,0.0001008873,0.000006193086,0.00002059701,0.00001542365,0.001307261,0.9948822,0.00005562122,0.00001377449,0.003378425],"study_design_scores_gemma":[0.000008982604,0.0002777231,0.001179099,0.000004834277,0.00001418517,0.0000278047,0.00001575919,0.01017459,0.9877744,0.00003823012,0.0004741447,0.00001030036],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8993768,0.001709494,0.09638419,0.00008427978,0.00005632579,0.0002376508,0.0001807266,0.0003489221,0.001621581],"genre_scores_gemma":[0.8873158,0.001354107,0.1093511,0.00004982585,0.00001885379,0.0003653344,0.0002013754,0.00005335113,0.001290224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009033414,"threshold_uncertainty_score":0.004777372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03634016132494087,"score_gpt":0.2976959605101275,"score_spread":0.2613557991851866,"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."}}