{"id":"W2810523479","doi":"10.1016/j.actbio.2018.07.006","title":"Permeability mapping of gelatin methacryloyl hydrogels","year":2018,"lang":"en","type":"article","venue":"Acta Biomaterialia","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":127,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Cancer Institute; National Institute for Health and Care Research","keywords":"Self-healing hydrogels; Gelatin; Materials science; Poromechanics; Permeability (electromagnetism); Biomedical engineering; Drug delivery; Tissue engineering; Biot number; Composite material; Elastic modulus; Nanotechnology; Polymer chemistry; Porosity; Chemistry; Porous medium; Thermodynamics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001932935,0.0002631567,0.00009552917,0.0002355503,0.0001112224,0.0002392307,0.0001674434,0.0002189254,0.0009699451],"category_scores_gemma":[0.0002528235,0.0001422074,0.0001009625,0.0001438529,0.0002229729,0.0003855689,0.0001845969,0.000270959,0.0001777333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000247727,"about_ca_system_score_gemma":0.0001079075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005629038,"about_ca_topic_score_gemma":0.0005077171,"domain_scores_codex":[0.9999186,0.00001400102,0.000005293383,0.00002003672,0.0000171995,0.00002497387],"domain_scores_gemma":[0.9998112,0.0000725587,0.00005098316,0.00001463538,0.00002327766,0.00002730705],"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":[0.00003441908,0.000004076563,0.00003400557,0.00001227072,7.58778e-7,0.00001542695,0.0000129471,0.00003767457,0.9994395,0.00004956159,0.000007175719,0.0003522401],"study_design_scores_gemma":[0.000003916396,0.00003279386,0.0008952242,0.000002680372,0.000003829655,0.00004143327,0.00001366095,0.0005796144,0.9981103,0.00002208946,0.0002919768,0.000002500813],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858751,0.0008693743,0.009945785,0.00008211472,0.00001459464,0.00002119559,0.0001628095,0.00006617569,0.002962938],"genre_scores_gemma":[0.9926128,0.0005641136,0.004483431,0.00003262941,0.000007414602,0.00002551862,0.000118811,0.00002954267,0.002125682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009699451,"threshold_uncertainty_score":0.003244817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02518826785843303,"score_gpt":0.2645335342051046,"score_spread":0.2393452663466716,"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."}}