{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004358099,0.0003351338,0.00052762,0.00007170331,0.0005229309,0.0006868688,0.0002998987,0.0001534569,0.0009180673],"category_scores_gemma":[0.0000887193,0.0003092226,0.00009113341,0.0003525177,0.0001847893,0.0002690607,0.0001659249,0.00002807436,0.0002347951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005603069,"about_ca_system_score_gemma":0.000254219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001711538,"about_ca_topic_score_gemma":0.00001819236,"domain_scores_codex":[0.9976093,0.0001113755,0.0006974927,0.0008212464,0.0002005187,0.0005600312],"domain_scores_gemma":[0.9984018,0.0002399179,0.0002947896,0.0006236585,0.0003001453,0.0001396676],"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":[0.00004995238,0.0001135028,0.0001500436,0.0002723882,0.00001099594,0.000006341916,0.00006103105,0.000003270384,0.9960986,0.001746428,0.001178262,0.0003092097],"study_design_scores_gemma":[0.0008886313,0.00005436003,0.0002874355,0.00005591856,0.0000625988,0.0000624087,0.0001193991,0.00003883506,0.9742486,0.0006925613,0.02308054,0.0004086856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912374,0.0006652832,0.003016161,0.0006436047,0.0003633272,0.001566093,0.002069714,0.0003159748,0.0001224346],"genre_scores_gemma":[0.9489507,0.00004980644,0.04628115,0.0004205881,0.0002847331,0.002514187,0.0007477061,0.00007155046,0.0006795916],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04326499,"threshold_uncertainty_score":0.9999952,"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."}}