{"id":"W3205755504","doi":"10.1002/mabi.202100292","title":"Immune Response to Silk Sericin–Fibroin Composites: Potential Immunogenic Elements and Alternatives for Immunomodulation","year":2021,"lang":"en","type":"review","venue":"Macromolecular Bioscience","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China","keywords":"Fibroin; Sericin; SILK; Immunogenicity; Immune system; Materials science; Tissue engineering; Composite number; Coating; Composite material; Chemistry; Immunology; Biomedical engineering; 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":[0.0002766634,0.0007470332,0.0007906726,0.001441213,0.0001590113,0.0005356399,0.0004103033,0.0008185277,0.001910685],"category_scores_gemma":[0.0002081126,0.0002431042,0.0003456071,0.001027003,0.0002746636,0.0007541782,0.0003658806,0.001037434,0.0009403151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736841,"about_ca_system_score_gemma":0.0003828364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004141005,"about_ca_topic_score_gemma":0.0009159562,"domain_scores_codex":[0.9999194,0.00001357074,0.000008432953,0.00001438856,0.0000321869,0.00001197705],"domain_scores_gemma":[0.9999303,0.0000301235,0.00001463866,0.000002240657,0.00001550601,0.000007243877],"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":[0.0001026785,0.0001329574,0.0001275003,0.02937144,0.00009163276,0.0003411684,0.00008984387,0.0005853943,0.0257669,0.005972418,0.01764078,0.9197773],"study_design_scores_gemma":[0.00002387658,0.0002295182,0.001020499,0.002999451,0.0001086054,0.00147501,0.00005737999,0.0001481197,0.005017939,0.001520587,0.9873783,0.00002077874],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004273416,0.9981117,0.0001576185,0.000120432,0.0001486042,0.000005093711,0.000008838069,0.000005608878,0.0010148],"genre_scores_gemma":[0.001634666,0.9969546,0.0002416188,0.000149066,0.0001050037,0.000009581523,0.00001971803,0.000001116135,0.0008845259],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001910685,"threshold_uncertainty_score":0.006391883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02042872200244629,"score_gpt":0.3211553905767847,"score_spread":0.3007266685743384,"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."}}