{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003448919,0.0007385888,0.0009283366,0.0002062394,0.0001040782,0.0004430282,0.0002422578,0.0002707773,0.0001280349],"category_scores_gemma":[0.00001433017,0.0006051397,0.00002779596,0.000386851,0.0001378873,0.0003882788,0.0001438491,0.0001468517,0.00003546116],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001580777,"about_ca_system_score_gemma":0.00008346295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000745662,"about_ca_topic_score_gemma":0.000005267922,"domain_scores_codex":[0.9976599,0.00009640781,0.0007673802,0.0007085572,0.0002823011,0.0004855202],"domain_scores_gemma":[0.9990682,0.0001202871,0.0002158832,0.0003534462,0.0001490333,0.00009314511],"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":[0.0005340001,0.0000634919,0.000005871774,0.001301168,0.0009859239,0.0000181914,0.00174646,0.001607396,0.9932225,0.00003070705,0.00002115681,0.0004631382],"study_design_scores_gemma":[0.0009087815,0.0002096133,0.00006289787,0.0007246655,0.0001916294,0.00006894358,0.0003334841,0.0008444865,0.9959191,0.00003666383,0.00002336988,0.0006763798],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941028,0.000599795,0.002025371,0.00002502153,0.000746575,0.001052378,0.0001141922,0.001251636,0.00008223495],"genre_scores_gemma":[0.9907431,0.00005595913,0.008487057,0.000004768129,0.0001668784,0.0002431595,0.00005986521,0.0002102752,0.00002891625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006461686,"threshold_uncertainty_score":0.99964,"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."}}