{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021351,0.0003050615,0.0001928905,0.0002180727,0.000137896,0.0001827346,0.0002275935,0.0003939609,0.0006110106],"category_scores_gemma":[0.0001449779,0.0001948191,0.0003378691,0.0001097112,0.0001530309,0.000146101,0.0001996456,0.000294766,0.0002850428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002747901,"about_ca_system_score_gemma":0.0001708552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002236841,"about_ca_topic_score_gemma":0.0002648838,"domain_scores_codex":[0.9998713,0.00001889632,0.00001232433,0.00003524882,0.00004235602,0.00002004645],"domain_scores_gemma":[0.9999193,0.00001165291,0.0000274375,0.000007915501,0.00001455212,0.00001912354],"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":[0.00002475002,0.00001720327,0.00004723901,0.00002071228,0.000003206395,0.00002110199,0.000006581203,0.0002943178,0.9982664,0.0001645924,0.00002518986,0.001108711],"study_design_scores_gemma":[0.0000111277,0.0001688794,0.0002682412,0.000001989126,0.000006040528,0.00005727373,0.000003528588,0.003253099,0.9949244,0.00002871293,0.001271554,0.000005120872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.950797,0.0007427966,0.04475033,0.0001117998,0.00008542385,0.0002195587,0.0002143263,0.0003102109,0.002768584],"genre_scores_gemma":[0.9641168,0.0002353055,0.03248626,0.00004205876,0.000008345814,0.0001461147,0.0001595174,0.00002422263,0.002781466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006110106,"threshold_uncertainty_score":0.002044022,"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."}}