{"id":"W2157654967","doi":"10.1109/tdei.2012.6215080","title":"Electrospinning as a new method of preparing nanofilled silicone rubber composites","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Dielectrics and Electrical Insulation","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":50,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Silicone rubber; Materials science; Nanocomposite; Electrospinning; Composite material; Thermogravimetric analysis; Thermal stability; Dispersion (optics); Natural rubber; Economies of agglomeration; Silicone; Filler (materials); Scanning electron microscope; Polymer; Chemical engineering","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":[0.0002585622,0.0004075304,0.0001902204,0.0004649056,0.0002234784,0.0001846884,0.0002616502,0.0003273436,0.0009699987],"category_scores_gemma":[0.0002091936,0.000189004,0.0002325775,0.0001655093,0.0003048771,0.0004321785,0.0001928114,0.0005152478,0.0003619569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009929494,"about_ca_system_score_gemma":0.0001474918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001223495,"about_ca_topic_score_gemma":0.0004911078,"domain_scores_codex":[0.9997771,0.00001591768,0.000018783,0.00004615219,0.0001277811,0.00001425126],"domain_scores_gemma":[0.9998263,0.00005925615,0.00004606115,0.00001965802,0.00003266736,0.00001624577],"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":[0.000007779267,0.00000700644,0.00002280133,0.00004405776,0.000001920761,0.0000487475,0.0000111354,0.0000572752,0.9948703,0.00009456774,0.00003062211,0.004803799],"study_design_scores_gemma":[0.000005726992,0.00009245744,0.0004257575,0.000004570496,0.000006991594,0.0003841117,0.000007626124,0.0007840164,0.9937104,0.00007269085,0.004496525,0.000009161566],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5443655,0.01389108,0.4239794,0.000542412,0.0008821773,0.0003540406,0.0002990397,0.001735303,0.01395105],"genre_scores_gemma":[0.7538225,0.005323005,0.2320424,0.0002206039,0.0002139266,0.0001282207,0.0002472153,0.0001890971,0.007813034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009699987,"threshold_uncertainty_score":0.003244996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299277860567989,"score_gpt":0.2937799042528277,"score_spread":0.2807871256471479,"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."}}