{"id":"W3138524318","doi":"10.1139/cjp-2020-0620","title":"Importance of axial stretch on the determination of Young’s modulus of electrospun poly(<i>ε</i>-caprolactone) nanofibres by atomic force microscopy","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Physics","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modulus; Composite material; Stiffness; Electrospinning; Materials science; Elastic modulus; Atomic force microscopy; Young's modulus; Bending; Deflection (physics); Nanoscopic scale; Composite number; Nanotechnology; Polymer; Physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0007097715,0.0003603105,0.0001494623,0.0002958917,0.000180707,0.000337974,0.0002046854,0.0003365234,0.000671696],"category_scores_gemma":[0.001935278,0.0002132951,0.0001031421,0.0001675597,0.0004336255,0.0005924332,0.0002124178,0.0003435962,0.0001789935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001487029,"about_ca_system_score_gemma":0.0001059745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004221991,"about_ca_topic_score_gemma":0.0009247331,"domain_scores_codex":[0.999624,0.0000542822,0.0000418171,0.00008365545,0.0001673795,0.0000287587],"domain_scores_gemma":[0.997943,0.001410203,0.0003057601,0.00006619971,0.0002226526,0.00005212652],"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":[0.00001802138,0.000003671989,0.0004255138,0.00002378592,0.000001716149,0.00004460086,0.00003767895,0.0000820222,0.9982974,0.00002141784,0.000005900425,0.00103833],"study_design_scores_gemma":[0.000002580961,0.00005297216,0.01369279,0.000008955043,0.000006999674,0.0001343834,0.00006594428,0.001652385,0.984015,0.00007542445,0.0002833264,0.00000919753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815882,0.001259361,0.01495745,0.0001477019,0.00002515317,0.00002592945,0.0001471974,0.00006636008,0.001782601],"genre_scores_gemma":[0.9915256,0.0006703254,0.006997722,0.00005176964,0.00001013941,0.00003129664,0.00009580582,0.00002480194,0.0005925591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007097715,"threshold_uncertainty_score":0.003753662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007131165985667529,"score_gpt":0.2323823405090003,"score_spread":0.2252511745233328,"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."}}