{"id":"W4391340020","doi":"10.1002/adfm.202314520","title":"Borophene Based 3D Extrusion Printed Nanocomposite Hydrogel for Antibacterial and Controlled Release Application","year":2024,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Graphene and Nanomaterials Applications","field":"Engineering","cited_by":104,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Self-healing hydrogels; Elastomer; Nanocomposite; Drug delivery; Swelling; Composite material; Chemical engineering; Toughness; Nanotechnology; Polymer chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001700953,0.0002226931,0.0003344421,0.0001244654,0.0001281432,0.0001160983,0.00006305295,0.0001001049,0.0002462525],"category_scores_gemma":[0.0000186635,0.0002054837,0.00006823209,0.0001371696,0.00003311379,0.0001340629,0.00001964036,0.00003693405,0.00004702176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004184057,"about_ca_system_score_gemma":0.00002592937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004669678,"about_ca_topic_score_gemma":0.000001134892,"domain_scores_codex":[0.9988964,0.00002052737,0.000420024,0.0003427721,0.0001087557,0.0002115477],"domain_scores_gemma":[0.9994645,0.0001439747,0.00005302144,0.0001993459,0.00006650547,0.00007263703],"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":[0.0008036101,0.00002344491,0.000003340916,0.0002121781,0.00004956104,8.237337e-7,0.000006462029,0.0042749,0.9880788,0.003395553,0.00008038696,0.003070888],"study_design_scores_gemma":[0.00312135,0.00005994294,0.000604978,0.00008164039,0.00008809639,0.000008969726,0.000002763027,0.03372185,0.9510835,0.001763272,0.009177214,0.0002863852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8960378,0.0004143305,0.09956507,0.00008114075,0.001329909,0.001411678,0.000450066,0.0006317822,0.00007824368],"genre_scores_gemma":[0.9916899,0.00007784809,0.005389769,0.00004892092,0.0003720849,0.001800191,0.0005178606,0.0000641698,0.00003922218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09565215,"threshold_uncertainty_score":0.8379382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005351360605421094,"score_gpt":0.210092074628447,"score_spread":0.2047407140230259,"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."}}