{"id":"W3195375639","doi":"10.1021/acsnano.1c04005","title":"Top-Down Fabricated microPlates for Prolonged, Intra-articular Matrix Metalloproteinase 13 siRNA Nanocarrier Delivery to Reduce Post-traumatic Osteoarthritis","year":2021,"lang":"en","type":"article","venue":"ACS Nano","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Congressionally Directed Medical Research Programs; National Center for Research Resources; National Institute of General Medical Sciences; FP7 Ideas: European Research Council; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Defense; European Commission; Rheumatology Research Foundation; U.S. Department of Veterans Affairs; National Institute of Biomedical Imaging and Bioengineering; Vanderbilt University; National Cancer Institute; National Institutes of Health; National Science Foundation","keywords":"Nanocarriers; Osteoarthritis; Materials science; Matrix (chemical analysis); Medicine; Articular cartilage; Nanotechnology; Drug delivery; Biomedical engineering; Composite material; Pathology","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":[0.0002764227,0.0005833633,0.0002656099,0.000217207,0.000199916,0.0003328596,0.0004138103,0.0004262026,0.001437122],"category_scores_gemma":[0.0001821303,0.000321961,0.000331545,0.0001689077,0.0002466264,0.0002664098,0.0001927151,0.0005210678,0.0009314035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004036707,"about_ca_system_score_gemma":0.0003011666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007340051,"about_ca_topic_score_gemma":0.001651402,"domain_scores_codex":[0.9997241,0.00002877297,0.00002733195,0.00007883782,0.0001078437,0.00003316385],"domain_scores_gemma":[0.99983,0.00003658319,0.00005857724,0.00001888259,0.00003829109,0.00001772313],"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":[0.00002472795,0.00001550061,0.00005066433,0.00003447901,0.000002597399,0.00001527763,0.00001553406,0.00008002303,0.9986658,0.00007203402,0.00004997394,0.0009732586],"study_design_scores_gemma":[0.000003916667,0.00008344683,0.0003119666,0.0000018896,0.000006620268,0.00002361328,0.000009002113,0.0006973617,0.9978245,0.00001145658,0.001022048,0.000004070966],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8670831,0.00318318,0.1196686,0.000272266,0.0003451191,0.000263414,0.001471509,0.001356308,0.006356372],"genre_scores_gemma":[0.9033454,0.00191842,0.0825198,0.0001696941,0.00003209132,0.0004658276,0.0009908159,0.0001076674,0.01045024],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001437122,"threshold_uncertainty_score":0.004807651,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150267760640521,"score_gpt":0.2576769051958399,"score_spread":0.2461742275894347,"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."}}