{"id":"W2041778199","doi":"10.1016/j.jmbbm.2010.10.014","title":"Nano/micro electro-spun polyethylene terephthalate fibrous mat preparation and characterization","year":2010,"lang":"en","type":"article","venue":"Journal of the mechanical behavior of biomedical materials/Journal of mechanical behavior of biomedical materials","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Polyethylene terephthalate; Composite material; Fiber; Scanning electron microscope; Polymer; Amorphous solid; Substrate (aquarium); Differential scanning calorimetry; Micrometer; Polyester; Optics","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":[0.0002176309,0.0002515115,0.0001143352,0.0003041687,0.0001450902,0.0001357192,0.0001072825,0.0002278966,0.001349227],"category_scores_gemma":[0.0001752524,0.000152496,0.0001320713,0.0001960189,0.0001285989,0.0002055254,0.00008051353,0.0002855699,0.0004474246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001014605,"about_ca_system_score_gemma":0.00008641918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001881763,"about_ca_topic_score_gemma":0.0006915982,"domain_scores_codex":[0.9998788,0.000008077006,0.00001353094,0.00003276973,0.00005147974,0.00001527818],"domain_scores_gemma":[0.9997874,0.00005067424,0.00006781072,0.0000232441,0.00004350021,0.00002734457],"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":[0.000006823645,0.000005250068,0.00004026063,0.000007496395,8.329692e-7,0.00001665722,0.000003783827,0.00002863843,0.9994366,0.00001832496,0.000006778392,0.0004285594],"study_design_scores_gemma":[0.000002787101,0.00005625534,0.001676519,0.000001597533,0.000003669589,0.00006588781,0.000005174028,0.0005015169,0.9970192,0.00001201029,0.0006535178,0.000001957344],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953133,0.0005381927,0.04243034,0.00006547931,0.00006489352,0.0001033033,0.0006370595,0.0002722099,0.002755603],"genre_scores_gemma":[0.9591758,0.0004372722,0.03410988,0.0000656537,0.00002977083,0.0001362331,0.0005695642,0.00008724419,0.005388596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001349227,"threshold_uncertainty_score":0.004513681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008848656613945785,"score_gpt":0.2672645072026846,"score_spread":0.2584158505887388,"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."}}