{"id":"W1937091029","doi":"10.1016/j.biotechadv.2015.10.014","title":"Silk sericin: A versatile material for tissue engineering and drug delivery","year":2015,"lang":"en","type":"review","venue":"Biotechnology Advances","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":440,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China; Crohn's and Colitis Foundation of America","keywords":"Sericin; Fibroin; Drug delivery; Tissue engineering; Self-healing hydrogels; SILK; Chemistry; Biomaterial; Drug; Materials science; Biomedical engineering; Nanotechnology; Polymer chemistry; Pharmacology; Biology; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002968943,0.0003976128,0.00109039,0.0001680416,0.0001266655,0.00007667344,0.0004389099,0.0005711825,0.00006915245],"category_scores_gemma":[0.00006751083,0.0003254324,0.0000756621,0.0001929587,0.0002076815,0.0001483589,0.0001906901,0.00009626526,0.00008562989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007678265,"about_ca_system_score_gemma":0.0001127064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002227107,"about_ca_topic_score_gemma":0.000008278819,"domain_scores_codex":[0.9983746,0.00003397601,0.0004537996,0.0006161535,0.0001037774,0.0004176298],"domain_scores_gemma":[0.999021,0.0001363342,0.0003001044,0.0004105132,0.00005186452,0.00008016269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002246333,0.00003391093,1.362787e-7,0.006671735,0.00002648375,0.000006541036,0.00001783675,0.000003026805,0.1205248,0.001048091,0.00119759,0.8704474],"study_design_scores_gemma":[0.0001413601,0.00007132044,7.582989e-8,0.0006824289,0.0001452868,0.00003319027,0.0000167383,0.00000539161,0.1070993,0.0001703205,0.89131,0.0003246067],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004016711,0.9916577,0.0002304336,0.0001281071,0.001136046,0.001140926,0.001215042,0.0004653177,0.000009682444],"genre_scores_gemma":[0.0001450976,0.9875957,0.01082906,0.00001492315,0.0003153014,0.0008207472,0.000177379,0.00005459678,0.0000471346],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8901125,"threshold_uncertainty_score":0.9999198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939958181546865,"score_gpt":0.293405433115446,"score_spread":0.2740058512999774,"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."}}