{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004402843,0.00018254,0.0002620153,0.0001456368,0.0001885091,0.00003115494,0.00118033,0.0004026162,0.0000385844],"category_scores_gemma":[0.0001134243,0.0001309834,0.00006026166,0.0009606754,0.0007134606,0.00005197044,0.000164204,0.0001665434,0.0000413281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006020629,"about_ca_system_score_gemma":0.00009893747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746803,"about_ca_topic_score_gemma":0.000004600672,"domain_scores_codex":[0.9982802,0.00002132641,0.0003729953,0.0004674444,0.0002802338,0.0005778376],"domain_scores_gemma":[0.9987901,0.00007111458,0.0002040707,0.0007570967,0.00009576729,0.0000818325],"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":[0.0000314097,0.0001181034,0.00002842976,0.000005717988,0.000009166743,0.000001274778,0.00005607058,7.917399e-7,0.9532492,0.03588646,0.0008553801,0.009758041],"study_design_scores_gemma":[0.0001944252,0.0008012889,0.0003300586,0.00002383666,0.00001436185,0.00001566585,0.0000194068,0.00003275886,0.9867723,0.003503507,0.008135208,0.0001571867],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6588262,0.001127388,0.1488884,0.1858715,0.0005170443,0.002632583,0.00007385782,0.001293747,0.0007692392],"genre_scores_gemma":[0.8074049,0.00001321096,0.1908193,0.001400886,0.00007276694,0.0001570426,0.000004961669,0.00001692723,0.0001100614],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1844706,"threshold_uncertainty_score":0.5341348,"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."}}