{"id":"W4410048581","doi":"10.1002/admt.202401810","title":"Microfluidic Production of Ultrathin, Handleable Collagen Sheets Exhibiting Toe‐heel Tensile Behavior","year":2025,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Electrospun Nanofibers in Biomedical Applications","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital; University of New Brunswick","funders":"National Institute of Biomedical Imaging and Bioengineering; National Heart, Lung, and Blood Institute; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institutes of Health; University of Toronto","keywords":"Microscale chemistry; Ultimate tensile strength; Materials science; Biofabrication; Extracellular matrix; Composite material; Modulus; Microfluidics; Tissue engineering; Collagen fibril; Biomedical engineering; Nanotechnology; Biophysics; Chemistry","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":[0.0001237336,0.0002588558,0.000108873,0.0001390483,0.0001033339,0.0001800289,0.0001567208,0.0001649251,0.0003599926],"category_scores_gemma":[0.0001483665,0.0001252514,0.0001324629,0.00009423491,0.0001208004,0.0001559111,0.0001783914,0.0002315875,0.0001512596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146618,"about_ca_system_score_gemma":0.0001165598,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002479753,"about_ca_topic_score_gemma":0.000606464,"domain_scores_codex":[0.9999375,0.000005287711,0.000005775706,0.00001724384,0.0000212456,0.00001304075],"domain_scores_gemma":[0.9998975,0.00002580316,0.00004330916,0.000009237838,0.000008303296,0.00001582269],"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":[0.000006587386,0.000007193472,0.00003591136,0.00001343243,0.000001119021,0.00002348718,0.000007544879,0.0001233918,0.9982431,0.00005635454,0.00002686888,0.001455117],"study_design_scores_gemma":[0.000009046334,0.00008227435,0.001103251,0.000003366431,0.000003763844,0.00006940972,0.000005856576,0.001719613,0.9955398,0.00003142017,0.00142677,0.000005358467],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580399,0.002135045,0.0357886,0.0001349882,0.0001592217,0.0001080759,0.0004363073,0.0003470276,0.002850852],"genre_scores_gemma":[0.9353356,0.001312183,0.06077567,0.00006042038,0.00004368413,0.00009688521,0.0002758337,0.00002851355,0.002071169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003599926,"threshold_uncertainty_score":0.001204252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006420265886859029,"score_gpt":0.2557856940472065,"score_spread":0.2493654281603474,"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."}}