{"id":"W2114118213","doi":"10.1016/j.biomaterials.2010.06.035","title":"Modified Gellan Gum hydrogels with tunable physical and mechanical properties","year":2010,"lang":"en","type":"article","venue":"Biomaterials","topic":"Polysaccharides Composition and Applications","field":"Agricultural and Biological Sciences","cited_by":425,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Institute of Dental and Craniofacial Research; National Institute of Biomedical Imaging and Bioengineering; European Commission; Engineer Research and Development Center; Samsung; National Science Foundation; National Institutes of Health; National Heart, Lung, and Blood Institute; Fundação para a Ciência e a Tecnologia; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Gellan gum; Self-healing hydrogels; Materials science; Biocompatibility; Swelling; Fourier transform infrared spectroscopy; Tissue engineering; Chemical engineering; Methacrylate; Dynamic mechanical analysis; Polymer chemistry; Polymer; Composite material; Biomedical engineering; Polymerization; Chemistry","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":[0.0001923184,0.0005469444,0.0001932379,0.0002270799,0.00008073634,0.0002309148,0.0001816235,0.000351193,0.0008499669],"category_scores_gemma":[0.0002228311,0.0002039428,0.0002058462,0.0001986242,0.0001586886,0.0003440572,0.0001881419,0.0003631922,0.0002034264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001717637,"about_ca_system_score_gemma":0.0001033372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261799,"about_ca_topic_score_gemma":0.0003227616,"domain_scores_codex":[0.9999192,0.00001200193,0.000006766896,0.00001444047,0.00002178209,0.00002581401],"domain_scores_gemma":[0.9998242,0.00004363889,0.00005919469,0.0000140008,0.00002062136,0.00003831421],"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":[0.00004301335,0.000009954709,0.00002735592,0.0000333022,0.000003615993,0.00003068647,0.00001048818,0.00007931263,0.9986094,0.00006111838,0.00001839703,0.001073412],"study_design_scores_gemma":[0.00001133008,0.000100072,0.000693656,0.000003863521,0.00001239065,0.00006841995,0.000006390093,0.0003527527,0.9977809,0.00003055409,0.0009330339,0.000006725568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894291,0.00281252,0.005179137,0.00008405955,0.00006500713,0.0000292105,0.0001522456,0.0000960864,0.002152678],"genre_scores_gemma":[0.9908916,0.001092626,0.005330362,0.0001218328,0.00002336073,0.00004158293,0.0001148827,0.00003815566,0.00234563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008499669,"threshold_uncertainty_score":0.00284338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02100727681062935,"score_gpt":0.2097033362640711,"score_spread":0.1886960594534418,"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."}}