{"id":"W4390051340","doi":"10.1002/adfm.202312260","title":"Construction of Multi‐Module RNA Nanoparticles Harboring miRNA, AIE, and CH6 Aptamer for Bone Targeting and Bone Anabolic Therapy","year":2023,"lang":"en","type":"article","venue":"Advanced Functional Materials","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Bone resorption; microRNA; Mesenchymal stem cell; Bone remodeling; Osteoclast; Cell biology; Osteoporosis; Aptamer; Cancer research; Materials science; Chemistry; Medicine; Biology; Biochemistry; Internal medicine; Molecular biology; In vitro","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":[],"consensus_categories":[],"category_scores_codex":[0.0001995142,0.0001319078,0.000214844,0.00006680095,0.0001118816,0.00001811341,0.00002589537,0.00007844475,0.000002367624],"category_scores_gemma":[0.00009204461,0.0001176731,0.00004038322,0.00009773723,0.0001201511,0.00001438469,0.0000437594,0.00002435555,5.19433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005419448,"about_ca_system_score_gemma":0.0000110988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006907299,"about_ca_topic_score_gemma":0.000002297552,"domain_scores_codex":[0.999163,0.00002728998,0.0002630627,0.0002977762,0.00007623193,0.0001726437],"domain_scores_gemma":[0.9995666,0.00002007329,0.0001526878,0.0001116475,0.0001100242,0.00003901024],"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":[0.0002904766,0.0000181612,0.0002171427,0.00002632806,0.00003821193,5.402637e-7,0.000007140311,0.00002274699,0.9886469,0.000168356,0.00004824936,0.01051572],"study_design_scores_gemma":[0.0007532308,0.0001366914,0.002535228,0.00001934672,0.0000165335,0.000009357912,0.00008336054,0.00004810564,0.9941462,0.0004961101,0.001616211,0.0001396008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968343,0.0007617702,0.001815584,0.0001015962,0.0001618087,0.0001904082,0.00008129372,0.00004934417,0.000003908943],"genre_scores_gemma":[0.9759331,0.001692397,0.02189567,0.00005365555,0.0001459772,0.00003915648,0.0001465324,0.00001927974,0.00007417659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02090113,"threshold_uncertainty_score":0.4798569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01576291048574647,"score_gpt":0.2662634893466603,"score_spread":0.2505005788609139,"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."}}