{"id":"W3133991902","doi":"10.3390/nano11030695","title":"Silk Fibroin Coated Magnesium Oxide Nanospheres: A Biocompatible and Biodegradable Tool for Noninvasive Bioimaging Applications","year":2021,"lang":"en","type":"article","venue":"Nanomaterials","topic":"Silk-based biomaterials and applications","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RMIT University; ARC Centre for Nanoscale BioPhotonics; Australian Research Council; Ontario Ministry of Natural Resources and Forestry","keywords":"Fibroin; Biocompatibility; Materials science; Nanotechnology; Nanoparticle; Fluorescence; HaCaT; Magnesium; Biocompatible material; Coating; Biomedical engineering; SILK; Chemistry; In vitro","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009525382,0.0002839919,0.00009508331,0.0001939295,0.00009311831,0.0001771114,0.0001175042,0.0002790949,0.0002284842],"category_scores_gemma":[0.00008305832,0.0001021115,0.00011522,0.00008425435,0.0001192509,0.0001993492,0.000126737,0.0001105974,0.0001231526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001715691,"about_ca_system_score_gemma":0.00008472956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003569172,"about_ca_topic_score_gemma":0.0007625627,"domain_scores_codex":[0.9999205,0.00001142249,0.000004669105,0.0000173477,0.00003732269,0.00000882628],"domain_scores_gemma":[0.9999512,0.000007910682,0.00002179212,0.000004017641,0.000007426241,0.000007616354],"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":[0.000005852172,0.000002695491,0.00004983539,0.00001205068,9.67243e-7,0.00002146306,0.000003156516,0.00003139241,0.9990533,0.00002558824,0.00001110776,0.0007826458],"study_design_scores_gemma":[0.000002488459,0.00004610669,0.001419887,0.000002207994,0.000004763231,0.0001647111,0.000006660237,0.001181787,0.995372,0.00002280991,0.001772805,0.000003722426],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664778,0.005214029,0.02543484,0.0001562195,0.00003129612,0.00004514587,0.0001367205,0.0002042703,0.002299697],"genre_scores_gemma":[0.9845691,0.001315104,0.01201578,0.00002995141,0.00001201828,0.0000193889,0.00009368901,0.00001774657,0.001927315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0003569172,"threshold_uncertainty_score":0.001244843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653602695978513,"score_gpt":0.2573030591265489,"score_spread":0.2407670321667638,"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."}}