{"id":"W4205506745","doi":"10.1017/jfm.2021.1135","title":"Centrifugal spinning of viscoelastic nanofibres","year":2022,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; Université Laval","keywords":"Mechanics; Viscoelasticity; Froude number; Spinning; Materials science; Drag; Viscosity; Reynolds number; Weissenberg number; Newtonian fluid; Physics; Classical mechanics; Flow (mathematics); Composite material; Turbulence","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":[0.0001791396,0.0003709453,0.0001887641,0.000206753,0.0001592815,0.0002092405,0.0003161082,0.0003184373,0.0003595116],"category_scores_gemma":[0.0001718292,0.00008769144,0.0003368182,0.0001055724,0.0003584857,0.0003882459,0.0002092826,0.0002099896,0.0001003986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002743171,"about_ca_system_score_gemma":0.000207332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001007174,"about_ca_topic_score_gemma":0.0007048569,"domain_scores_codex":[0.999897,0.00001548247,0.00000612041,0.00002920575,0.00004166036,0.00001051803],"domain_scores_gemma":[0.9999387,0.00001521972,0.00002513599,0.000008727755,0.000008756551,0.000003421034],"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":[0.00004181186,0.00005221332,0.0006017783,0.0001358248,0.00001796038,0.0001949712,0.00005756911,0.09036458,0.8840615,0.01113648,0.0002161599,0.01311933],"study_design_scores_gemma":[0.00001003758,0.0001711083,0.001567882,0.00001225603,0.00001241113,0.0001329791,0.00001265803,0.7500333,0.2440519,0.00143909,0.002534461,0.00002197764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7236683,0.001432901,0.2685709,0.0001487114,0.00005595414,0.00004417817,0.00009791368,0.000230021,0.005751103],"genre_scores_gemma":[0.9613637,0.001063893,0.03351571,0.00004122775,0.00003041203,0.00004968347,0.00008736234,0.00002691025,0.003821116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001007174,"threshold_uncertainty_score":0.002002656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00684543538719288,"score_gpt":0.2292503622878662,"score_spread":0.2224049269006733,"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."}}