{"id":"W1965241565","doi":"10.1002/btpr.163","title":"A novel electrospinning target to improve the yield of uniaxially aligned fibers","year":2009,"lang":"en","type":"article","venue":"Biotechnology Progress","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; McMaster University","keywords":"Electrospinning; Materials science; Electrode; Fabrication; Fiber; Deposition (geology); Spinning; Nanotechnology; Yield (engineering); Electric field; Nanofiber; Composite material; Polymer; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002779716,0.0005645592,0.00033989,0.000462795,0.0002550633,0.0003967108,0.0005092871,0.0005609553,0.0007855563],"category_scores_gemma":[0.0004156206,0.0003428181,0.0002174007,0.0002923072,0.0001754646,0.00058554,0.0003596999,0.0004340285,0.0004515034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003045854,"about_ca_system_score_gemma":0.0002608325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003021219,"about_ca_topic_score_gemma":0.0009544761,"domain_scores_codex":[0.9996265,0.00001664633,0.00004008862,0.00009454421,0.0001881863,0.00003406878],"domain_scores_gemma":[0.9996531,0.00005912984,0.0001088515,0.00003796861,0.0001103227,0.0000306761],"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":[0.00001225713,0.00001560734,0.00007520986,0.00002327532,0.000002828495,0.00002757047,0.000009815002,0.0002211935,0.9970353,0.00008524458,0.00005757929,0.002434145],"study_design_scores_gemma":[0.000007086014,0.00008795165,0.0005958112,0.000002267912,0.000005643248,0.00007964516,0.000003923376,0.003557188,0.9943493,0.00002330658,0.001282577,0.000005168747],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8589411,0.001551317,0.1316448,0.0002973945,0.0001850681,0.0002019487,0.000169501,0.001108073,0.005900891],"genre_scores_gemma":[0.8593089,0.000796848,0.134143,0.0001117235,0.00005507532,0.0001461335,0.0002784391,0.0001992361,0.004960563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007855563,"threshold_uncertainty_score":0.002627969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007965018034848682,"score_gpt":0.2539651833986412,"score_spread":0.2460001653637925,"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."}}