{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004243987,0.0002362082,0.000465231,0.0002264061,0.0002550691,0.00006010353,0.0005806792,0.0002640225,0.000114988],"category_scores_gemma":[0.0004556036,0.0002123875,0.00004595172,0.0007632088,0.0006513697,0.0002445916,0.0002663136,0.00007723263,0.00004214462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001124998,"about_ca_system_score_gemma":0.00009753076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002589618,"about_ca_topic_score_gemma":0.000003416199,"domain_scores_codex":[0.9979972,0.00003914401,0.0006635918,0.000615523,0.000226599,0.0004578979],"domain_scores_gemma":[0.9985718,0.00008132815,0.0003183991,0.0007687263,0.0002349856,0.00002482388],"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":[0.00003678971,0.0001151758,0.00006620165,0.00011923,0.000007524081,0.000002557678,0.00002549569,0.000001255193,0.9877066,0.002910918,0.003683442,0.005324789],"study_design_scores_gemma":[0.0002464512,0.00008439332,0.0002208896,0.0001660586,0.0000449857,0.00001135199,0.0003311443,2.572796e-7,0.9892491,0.006184555,0.003266625,0.0001942365],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900635,0.003375016,0.001303743,0.001146546,0.00105403,0.001075597,0.00006925243,0.001542826,0.0003694613],"genre_scores_gemma":[0.9599329,0.001328217,0.03704568,0.00005489676,0.00003145842,0.0008112775,0.0000303713,0.00002401733,0.0007412233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03574194,"threshold_uncertainty_score":0.866091,"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."}}