{"id":"W2979140946","doi":"10.1039/c9nr02791b","title":"Aptamer-functionalized exosomes from bone marrow stromal cells target bone to promote bone regeneration","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":291,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Movement Disorders","funders":"Hunan Provincial Innovation Foundation for Postgraduate; Chinese Academy of Medical Sciences; Fundamental Research Funds for Central Universities of the Central South University; China Postdoctoral Science Foundation; Central South University; Xiangya Hospital, Central South University; Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Stromal cell; Microvesicles; Bone marrow; Regeneration (biology); Aptamer; Cancer research; Bone tissue; Cell biology; Medicine; Chemistry; Pathology; Biology; Molecular biology; Biochemistry; microRNA","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":[0.0001385875,0.0002309927,0.0002266376,0.0001728126,0.0001081528,0.0001964829,0.000102959,0.000369775,0.0009025752],"category_scores_gemma":[0.0001825247,0.0001101695,0.0002282837,0.00009088252,0.0001598154,0.0002061815,0.0002767322,0.0002293536,0.000290891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001045063,"about_ca_system_score_gemma":0.0001252324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001520291,"about_ca_topic_score_gemma":0.0002917723,"domain_scores_codex":[0.9999053,0.0000183331,0.000008937029,0.00001934847,0.00002993714,0.00001814867],"domain_scores_gemma":[0.9999502,0.00001293051,0.00001540576,0.000003999693,0.000009256412,0.000008208112],"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":[0.00008889371,0.00002066266,0.0003529087,0.00009358831,0.00000837175,0.0000893612,0.00001702859,0.0001221456,0.9916859,0.0002022435,0.0001269276,0.00719184],"study_design_scores_gemma":[0.00002247017,0.0002980122,0.002179842,0.00001577757,0.00001971403,0.0004778556,0.00002884333,0.001038921,0.9894057,0.0001477,0.006358716,0.000006451974],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574592,0.01144228,0.02654418,0.0004547149,0.000162854,0.0001179623,0.000304684,0.0002076356,0.003306496],"genre_scores_gemma":[0.9818293,0.004059372,0.009775887,0.0001995499,0.00004236032,0.00007676421,0.0002213895,0.00002763119,0.003767722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009025752,"threshold_uncertainty_score":0.003019392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00588868000945608,"score_gpt":0.2177053644382161,"score_spread":0.2118166844287601,"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."}}