{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002124436,0.0004014156,0.0006926713,0.0001827511,0.0002173752,0.0001015052,0.0001499095,0.0002284627,0.0003320725],"category_scores_gemma":[0.0003750258,0.0003744542,0.0003045934,0.0004625208,0.00005983291,0.0002013303,0.0001006568,0.0001654995,0.000441439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001170131,"about_ca_system_score_gemma":0.0003030908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006050611,"about_ca_topic_score_gemma":0.0001339743,"domain_scores_codex":[0.9975888,0.00008694681,0.0005550244,0.0007066053,0.0003532617,0.0007093295],"domain_scores_gemma":[0.9980132,0.00009186991,0.0001182999,0.0006739449,0.0006791872,0.0004234811],"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":[0.000616128,0.0002981968,0.00007253052,0.0001523896,0.0001755471,0.001200089,0.0007762398,0.000002167701,0.940845,0.000139105,0.0006833397,0.05503928],"study_design_scores_gemma":[0.006563975,0.004246813,0.00009813943,0.0003603932,0.0005906756,0.001098012,0.0008331104,0.000007122487,0.9752042,0.0001546723,0.01043919,0.000403668],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872624,0.005754151,0.0001316713,0.002765079,0.0003820674,0.00314153,0.0001478898,0.0001734885,0.0002417638],"genre_scores_gemma":[0.980704,0.00008637671,0.01113185,0.001201288,0.0001707199,0.0008472572,0.0004861009,0.00009243689,0.005279958],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05463561,"threshold_uncertainty_score":0.9998707,"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."}}