{"id":"W2791494325","doi":"10.1016/j.ijbiomac.2018.02.069","title":"An injectable chitosan/chondroitin sulfate hydrogel with tunable mechanical properties for cell therapy/tissue engineering","year":2018,"lang":"en","type":"article","venue":"International Journal of Biological Macromolecules","topic":"Hydrogels: synthesis, properties, applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; California HIV/AIDS Research Program","keywords":"Self-healing hydrogels; Swelling; Chitosan; Chondroitin sulfate; Viability assay; Chemistry; Tissue engineering; Biocompatibility; Chemical engineering; Polymer chemistry; Biomedical engineering; Cell; Biochemistry; Glycosaminoglycan; Organic 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":[0.0002551273,0.0002222033,0.0002413316,0.00008683689,0.00009048307,0.00008554945,0.0007729405,0.000171883,0.00003479534],"category_scores_gemma":[0.0001500305,0.0001454968,0.0001177132,0.00007411689,0.0001631747,0.00002274636,0.00008682884,0.0001311235,0.000006937323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002362293,"about_ca_system_score_gemma":0.00009449129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002205726,"about_ca_topic_score_gemma":0.000006330214,"domain_scores_codex":[0.9986477,0.00005531583,0.0004292268,0.0003312796,0.000243559,0.0002929581],"domain_scores_gemma":[0.9989165,0.00002488327,0.0002463798,0.0002274264,0.0004506631,0.0001341363],"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":[0.0008242296,0.0002743889,0.0001397983,0.000005292226,0.0001361775,0.000009998853,0.00003543405,0.0001377503,0.9957455,0.0001536066,0.00005180535,0.002486009],"study_design_scores_gemma":[0.0008439455,0.00311152,0.000143193,0.00003413478,0.00001391893,0.0002140425,0.00005549076,0.0004644123,0.9840666,0.0002003391,0.01062742,0.0002249942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758222,0.0006275867,0.02257133,0.0003165106,0.0001683341,0.0002715264,0.0000365854,0.00002137099,0.0001646099],"genre_scores_gemma":[0.9870583,0.0001898739,0.01149199,0.0002576509,0.0008141728,0.00006572664,0.00003780541,0.00003541182,0.00004902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01167892,"threshold_uncertainty_score":0.5933189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934239700292377,"score_gpt":0.2514976591171967,"score_spread":0.232155262114273,"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."}}