{"id":"W2157636478","doi":"10.1504/ijecb.2009.022858","title":"Modelling of mechanical properties of electrospun nanofibre network","year":2009,"lang":"en","type":"article","venue":"International Journal of Experimental and Computational Biomechanics","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Office of Naval Research; McGill University; National Science Foundation","keywords":"Materials science; van der Waals force; Composite material; Fusion; Torsion (gastropod); Ultimate tensile strength; Strain energy; Deformation (meteorology); Electrospinning; Fracture mechanics; Polymer; Structural engineering; Finite element method","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003220938,0.0001166323,0.0002549272,0.0001430332,0.00004858547,0.00002813976,0.0004068165,0.00006672359,0.00003801944],"category_scores_gemma":[0.000009597798,0.00009567263,0.00009920303,0.0001924771,0.00009856747,0.0001701921,0.00007182511,0.0000793638,0.000001794425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006151305,"about_ca_system_score_gemma":0.0001032316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006014571,"about_ca_topic_score_gemma":7.82305e-8,"domain_scores_codex":[0.9981508,0.00003539653,0.0007156227,0.0001454271,0.0008020232,0.0001507375],"domain_scores_gemma":[0.9986532,0.00005141364,0.0005636334,0.00006787414,0.0005830336,0.00008084672],"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":[0.0002025036,0.0002623241,0.000002246814,0.000004860141,0.0000398597,0.000002514752,0.0001040949,0.003600467,0.9440708,0.05057226,0.00007394085,0.001064174],"study_design_scores_gemma":[0.0004595586,0.0006061039,0.000005529826,0.00009782647,0.00001193421,0.0001145231,0.00005100753,0.04096023,0.9060995,0.05143369,0.00007495863,0.00008516549],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5370186,0.002332053,0.4594521,0.0006294583,0.0003871173,0.0001008339,0.00001629424,0.00001156226,0.00005198804],"genre_scores_gemma":[0.8933666,0.00005407664,0.1062688,0.0001446916,0.0001441258,0.000002089884,0.000005835134,0.000006118069,0.000007577706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3563481,"threshold_uncertainty_score":0.3901416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01847604699604298,"score_gpt":0.2605941532068057,"score_spread":0.2421181062107627,"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."}}