{"id":"W2289473537","doi":"10.1016/j.biomaterials.2016.01.050","title":"Enzyme responsive GAG-based natural-synthetic hybrid hydrogel for tunable growth factor delivery and stem cell differentiation","year":2016,"lang":"en","type":"article","venue":"Biomaterials","topic":"Proteoglycans and glycosaminoglycans research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":144,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Children's Hospital; University of Calgary","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Self-healing hydrogels; Chondroitin sulfate; Materials science; PEG ratio; Extracellular matrix; Tissue engineering; Bone morphogenetic protein 2; Mesenchymal stem cell; Growth factor; Glycosaminoglycan; Chemistry; Cell biology; Biomedical engineering; Biochemistry; Biology; Polymer chemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00020273,0.0002086909,0.0002146871,0.00009119466,0.0001209061,0.00007015537,0.0001753596,0.0001224894,0.00004557866],"category_scores_gemma":[0.00007998595,0.0001435586,0.00008315592,0.00003958156,0.00009498298,0.00001082959,0.00009559846,0.00001049461,0.00001166851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003176121,"about_ca_system_score_gemma":0.0001033165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002953232,"about_ca_topic_score_gemma":0.000006463525,"domain_scores_codex":[0.9986389,0.000119669,0.0002456713,0.000466453,0.0001493441,0.0003799663],"domain_scores_gemma":[0.9992384,0.00008017846,0.0001079951,0.0002969932,0.0001656195,0.0001108392],"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":[0.0008816934,0.00003957624,0.0001436197,0.00009702692,0.00002785777,0.0000034752,0.000008235712,1.519398e-7,0.996304,0.00001712833,0.0006284274,0.001848844],"study_design_scores_gemma":[0.001405648,0.0003545711,0.0007309808,0.00003859337,0.00001576663,0.00000676887,0.000007938695,0.00004960569,0.9936265,0.00008255229,0.003446935,0.000234158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994958,0.0006320711,0.00239371,0.0002111575,0.0002339188,0.0006610767,0.0008722326,0.00002337082,0.0000144113],"genre_scores_gemma":[0.9981667,0.0001312003,0.0002434354,0.00007444026,0.0001410147,0.0001774313,0.0001352129,0.0000343973,0.000896177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00320864,"threshold_uncertainty_score":0.5854151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01337503903936725,"score_gpt":0.2377992179188858,"score_spread":0.2244241788795186,"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."}}