{"id":"W3002160837","doi":"10.1088/1758-5090/ab6edb","title":"Tandem electrospinning for heterogeneous nanofiber patterns","year":2020,"lang":"en","type":"article","venue":"Biofabrication","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Seventh Framework Programme","keywords":"Electrospinning; Nanofiber; Materials science; Fabrication; Nanotechnology; Fiber; Nanoscopic scale; Polymer; Nanolithography; Process (computing); Polygon mesh; Computer science; Deposition (geology); Composite material","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":[0.0001485478,0.0001312054,0.0001509699,0.00003117299,0.0001780814,0.00006031138,0.000316378,0.00009349563,0.0001608588],"category_scores_gemma":[0.00004722754,0.0001249686,0.00006860243,0.0002867451,0.0000537047,0.00008660602,0.00004307099,0.00005269834,0.000243762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007936758,"about_ca_system_score_gemma":0.00004760394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007591714,"about_ca_topic_score_gemma":0.000001201258,"domain_scores_codex":[0.9987048,0.00002724191,0.0002814445,0.000435686,0.0002161544,0.0003346645],"domain_scores_gemma":[0.9992909,0.00006859776,0.0001463205,0.0002359288,0.0001000484,0.0001581644],"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":[0.00001258522,0.00002810051,0.0006232053,0.00001944733,0.00000495365,2.901715e-7,0.00008924096,0.000003136492,0.99239,0.001077594,0.002519504,0.0032319],"study_design_scores_gemma":[0.0002832054,0.0001929555,0.0009310244,0.000007502375,0.0000203606,0.000005457535,0.000006936144,0.001166984,0.9585873,0.0007966103,0.03780962,0.0001920367],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1914422,0.0002322164,0.7966127,0.01002697,0.0001467123,0.0008527999,0.00005956509,0.0004041461,0.0002226703],"genre_scores_gemma":[0.9626998,0.00002485075,0.03364152,0.002651541,0.0003781261,0.0003960216,0.00009722801,0.00002941004,0.00008148831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7712576,"threshold_uncertainty_score":0.5096071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170046025174701,"score_gpt":0.2603954634950648,"score_spread":0.2386950032433177,"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."}}