{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003895004,0.0001811913,0.0002232212,0.00005303511,0.0001026308,0.00002575162,0.0003556322,0.0001962574,0.0002917814],"category_scores_gemma":[0.0001554602,0.0001650734,0.00009428174,0.0001341486,0.0003889334,0.000006316845,0.0002130316,0.00002622008,0.00008476998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000192881,"about_ca_system_score_gemma":0.00006059193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850413,"about_ca_topic_score_gemma":0.00002178533,"domain_scores_codex":[0.9986451,0.0001219831,0.0004036839,0.0004255525,0.0001323857,0.0002713239],"domain_scores_gemma":[0.9988204,0.000008711171,0.0001680318,0.0008078482,0.0001169757,0.00007798839],"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":[0.00004170917,0.00006177133,0.0009758522,0.00002986745,0.00006187319,2.341531e-7,0.0001532664,1.222746e-7,0.9965717,0.00003703139,0.0008292255,0.001237361],"study_design_scores_gemma":[0.0001730188,0.0001129643,0.002506461,0.00001297111,0.00001828963,0.000007106548,0.0000425594,0.00002219149,0.9018522,0.0001208196,0.09495633,0.0001751149],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975891,0.00007155861,0.0003967671,0.0002071292,0.0003046807,0.0002550218,0.00008354837,0.00003613552,0.001056054],"genre_scores_gemma":[0.9962798,0.00001348939,0.002837019,0.00008328746,0.0003758861,0.00005644493,0.00007414172,0.00003193949,0.0002479515],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09471951,"threshold_uncertainty_score":0.6731499,"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."}}