{"id":"W2625594830","doi":"10.1016/b978-0-08-101022-8.00009-0","title":"Melt electrospinning in tissue engineering","year":2017,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"International Collaboration On Repair Discoveries; University of Victoria","funders":"","keywords":"Electrospinning; Materials science; Tissue engineering; Nanofiber; Fabrication; Process (computing); Biomedical engineering; Polymer; Nanotechnology; Composite material; Computer science; 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":[0.0001835522,0.0008987422,0.0004389464,0.00124023,0.0002740149,0.001123825,0.0004476942,0.000947838,0.02160981],"category_scores_gemma":[0.0001533963,0.00038599,0.0003324645,0.001110813,0.0004102726,0.002353122,0.0007209778,0.001254205,0.009046621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004918674,"about_ca_system_score_gemma":0.0002155119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000296626,"about_ca_topic_score_gemma":0.0007701989,"domain_scores_codex":[0.999876,0.000007052991,0.000007849638,0.00003159623,0.00006850087,0.000008918997],"domain_scores_gemma":[0.9999543,0.00001996463,0.000005824406,0.000005590252,0.00001041399,0.000003931223],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005270083,0.0001125695,0.00007675798,0.001845136,0.00002428448,0.0002610995,0.0001800734,0.001493703,0.165109,0.05338469,0.04300871,0.7344514],"study_design_scores_gemma":[0.000007978525,0.00006464063,0.000430863,0.0004704969,0.00001996122,0.0007695393,0.00005712257,0.001812046,0.06416554,0.02251684,0.9096609,0.00002406128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01233812,0.4064569,0.06946246,0.002389526,0.006011658,0.0000731151,0.0003677196,0.001026069,0.5018744],"genre_scores_gemma":[0.03388345,0.1556092,0.01982824,0.0007185206,0.002129881,0.00008092227,0.0003357455,0.0003593922,0.7870546],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.02160981,"threshold_uncertainty_score":0.07229203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009238264694206378,"score_gpt":0.249575604900886,"score_spread":0.2403373402066796,"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."}}