{"id":"W4401999176","doi":"10.1021/acsami.4c07612","title":"Human Skeletal Muscle Myoblast Culture in Aligned Bacterial Nanocellulose and Commercial Matrices","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Institute of General Medical Sciences; National Institute of Arthritis and Musculoskeletal and Skin Diseases; University of California, Los Angeles; National Institutes of Health","keywords":"Scaffold; Skeletal muscle; Tissue engineering; Myocyte; Biomaterial; Materials science; C2C12; Biomedical engineering; Matrix (chemical analysis); In vitro; Nanotechnology; Cell biology; Anatomy; Biology; Medicine; Myogenesis; Biochemistry; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004689302,0.0002864354,0.0002097803,0.0001976223,0.0001845766,0.0001791619,0.0001809249,0.0002720394,0.0007139277],"category_scores_gemma":[0.000128594,0.0001613925,0.000195598,0.0002272522,0.0001006361,0.0001421662,0.0001760129,0.0002781824,0.0003579297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002299498,"about_ca_system_score_gemma":0.0002676721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003177108,"about_ca_topic_score_gemma":0.008933812,"domain_scores_codex":[0.9997347,0.0000310654,0.00003496423,0.00006885736,0.00009949256,0.00003095072],"domain_scores_gemma":[0.9998654,0.0000338336,0.00002005789,0.00002114769,0.00003812058,0.00002146617],"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":[0.00005803475,0.00003864005,0.0001491989,0.00002353567,0.000002265557,0.00003122492,0.00003222939,0.0001324156,0.9988243,0.00002577621,0.00002148691,0.0006610027],"study_design_scores_gemma":[0.00001027762,0.0003970038,0.002962199,0.00000730658,0.00001292056,0.00006075021,0.00002749793,0.001387691,0.9936236,0.00001131625,0.001495194,0.000004324322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9874966,0.001071813,0.006725923,0.00005352524,0.00004556695,0.0002089727,0.0006488468,0.0000666487,0.003682092],"genre_scores_gemma":[0.9567326,0.001498579,0.03215903,0.00009474221,0.00001732002,0.0004454553,0.001439813,0.00003477184,0.007577689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003177108,"threshold_uncertainty_score":0.006317198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007606872014613228,"score_gpt":0.2563893967769867,"score_spread":0.2487825247623734,"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."}}