{"id":"W4393256111","doi":"10.1021/acsami.4c00065","title":"Designing of a Multifunctional 3D-Printed Biomimetic Theragenerative Aerogel Scaffold via Mussel-Inspired Chemistry: Bioactive Glass Nanofiber-Incorporated Self-Assembled Silk Fibroin with Antibacterial, Antiosteosarcoma, and Osteoinductive Properties","year":2024,"lang":"en","type":"article","venue":"ACS Applied Materials & Interfaces","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Fundação para a Ciência e a Tecnologia; Deutsches Zentrum für Infektionsforschung; Deutsche Forschungsgemeinschaft; Land Nordrhein-Westfalen","keywords":"Fibroin; Materials science; Scaffold; Biocompatibility; Bioactive glass; Photothermal therapy; Composite number; Aerogel; Biomaterial; Nanofiber; Photothermal effect; Nanotechnology; SILK; Chemical engineering; Biomedical engineering; Composite material","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":[0.00008835902,0.000340074,0.0001773409,0.0002013024,0.0001191225,0.0002989655,0.0001742839,0.0003912312,0.0003698115],"category_scores_gemma":[0.00009186363,0.0001745893,0.0003398163,0.00009249571,0.0001767856,0.0001926769,0.0001666779,0.0001718153,0.00022632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002220771,"about_ca_system_score_gemma":0.0001698692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004498973,"about_ca_topic_score_gemma":0.0009504723,"domain_scores_codex":[0.9999332,0.000004690685,0.000006446477,0.0000178929,0.00002075805,0.00001697633],"domain_scores_gemma":[0.9999331,0.00001118646,0.00002604548,0.000005913047,0.000009881433,0.00001388067],"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":[0.000008903047,0.000007275046,0.00005976998,0.00002197591,0.000003254223,0.00004180727,0.000009426055,0.0004031593,0.9986907,0.00003774599,0.000009059262,0.0007070233],"study_design_scores_gemma":[0.000007120951,0.00008218327,0.0007561272,0.000002206616,0.00001198972,0.00009079281,0.000008490099,0.00394123,0.9942518,0.00001997766,0.0008202858,0.000007747018],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.977772,0.0005908354,0.01953803,0.00005879258,0.00002998427,0.00005552463,0.0001693012,0.000322035,0.001463473],"genre_scores_gemma":[0.9794184,0.0003069792,0.01868241,0.00002811148,0.000007249368,0.00003843512,0.000105728,0.00003179078,0.001381016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004498973,"threshold_uncertainty_score":0.001611233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009503601340453909,"score_gpt":0.1915392685792267,"score_spread":0.1820356672387727,"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."}}