{"id":"W4387948448","doi":"10.1002/biot.202300306","title":"Miniaturization of an enclosed electrospinning process to enhance reproducibility in the fabrication of rapidly dissolving cell‐based biosensors","year":2023,"lang":"en","type":"article","venue":"Biotechnology Journal","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Biotalent Canada; McMaster University","keywords":"Electrospinning; Materials science; Nanotechnology; Biosensor; Nanofiber; Reproducibility; Spinning; Polymer; Biomedical engineering; Composite material; Chemistry; Chromatography; Engineering","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":[0.0006759533,0.0007456693,0.0005547201,0.0003076862,0.0001727133,0.0003977838,0.000579848,0.0005779011,0.0008526126],"category_scores_gemma":[0.0007143564,0.0003935431,0.0004430841,0.000183982,0.0002906936,0.0005092366,0.0003498081,0.0008661708,0.0004281805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002087722,"about_ca_system_score_gemma":0.0002740624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002190236,"about_ca_topic_score_gemma":0.0004756282,"domain_scores_codex":[0.9995479,0.00004602558,0.0000546349,0.0001308775,0.0001778549,0.00004261456],"domain_scores_gemma":[0.9994195,0.0002508584,0.000127541,0.00006249496,0.00008938936,0.00005029231],"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":[0.000007369322,0.00001367412,0.0000165692,0.0000168359,0.000002096508,0.00001731489,0.00000828778,0.00008592295,0.9992336,0.00002571884,0.00001070986,0.0005618403],"study_design_scores_gemma":[0.00001061804,0.0001287647,0.0006688653,0.000004808656,0.00001109942,0.00006046083,0.000004547182,0.00213663,0.9958655,0.00001794957,0.001084178,0.000006741263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7019416,0.001338584,0.2917621,0.0002239932,0.0002619428,0.0008976877,0.0004308413,0.001502162,0.001641111],"genre_scores_gemma":[0.5651252,0.001186591,0.4286858,0.0001425159,0.00008640894,0.001081024,0.0005518573,0.0002433858,0.002897213],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0008526126,"threshold_uncertainty_score":0.003574789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009364145382343396,"score_gpt":0.3087071569205225,"score_spread":0.2993430115381792,"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."}}