{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004674158,0.0009342853,0.000796237,0.001909709,0.0001640698,0.000702402,0.0004259887,0.0007800263,0.001147544],"category_scores_gemma":[0.0003017497,0.0002758942,0.0003071264,0.001824169,0.0003341954,0.001228028,0.0005593775,0.001130783,0.0009376589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003571545,"about_ca_system_score_gemma":0.0005178854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004343239,"about_ca_topic_score_gemma":0.001052409,"domain_scores_codex":[0.9998686,0.00001329066,0.00001974781,0.00002400133,0.00005953475,0.00001478577],"domain_scores_gemma":[0.9998636,0.0000445092,0.00003945276,0.000004991585,0.00002855615,0.00001880285],"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":[0.00008592555,0.0001239118,0.0002046806,0.01416705,0.00008089876,0.0002961793,0.00004927903,0.0005317624,0.04422132,0.004235042,0.01203256,0.9239714],"study_design_scores_gemma":[0.00002043985,0.0001998693,0.00108775,0.00144851,0.0001680606,0.001547477,0.00005126743,0.0003194028,0.01826741,0.002059553,0.9747964,0.00003391894],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007789005,0.9963858,0.0006806226,0.0001647695,0.0002013447,0.000006558333,0.00002937165,0.00001094976,0.001741753],"genre_scores_gemma":[0.002714521,0.9948377,0.0006051072,0.0001177234,0.0001820912,0.000006493264,0.00005223835,0.000002584044,0.001481496],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001909709,"threshold_uncertainty_score":0.003838897,"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."}}