{"id":"W2754123122","doi":"10.1007/s12015-017-9762-0","title":"Micro-RNA Profiling of Exosomes from Marrow-Derived Mesenchymal Stromal Cells in Patients with Acute Myeloid Leukemia: Implications in Leukemogenesis","year":2017,"lang":"en","type":"article","venue":"Stem Cell Reviews and Reports","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Laboratories; University of Ottawa; Health Canada; Ottawa Hospital","funders":"Mach-Gaensslen Foundation of Canada; University of Ottawa","keywords":"Microvesicles; Mesenchymal stem cell; microRNA; Myeloid leukemia; Bone marrow; Stromal cell; Cancer research; Gene expression profiling; CD34; Biology; Leukemia; Exosome; Myeloid; Haematopoiesis; Gene expression; Stem cell; Gene; Immunology; Cell biology; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002434888,0.000210737,0.0004047227,0.00004435141,0.00008916501,0.00003168993,0.000196533,0.0001326403,0.000005359552],"category_scores_gemma":[0.00001679828,0.0001680641,0.00009316386,0.00004823856,0.0001191419,0.0000146685,0.0001770978,0.00009148387,0.00000103494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003705807,"about_ca_system_score_gemma":0.0001571771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009128781,"about_ca_topic_score_gemma":0.00006652548,"domain_scores_codex":[0.9983909,0.00007668846,0.0006634663,0.0005331905,0.0001113481,0.0002244355],"domain_scores_gemma":[0.9981257,0.000008319159,0.0007492324,0.0009605268,0.00005947295,0.00009674761],"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":[0.00003562847,0.00006558665,0.3138395,0.00009244541,0.00001924224,0.00004426364,0.00002204782,0.000005721246,0.6831883,0.000001205945,0.00002523655,0.00266085],"study_design_scores_gemma":[0.0006206975,0.00008058011,0.3198155,0.0001328029,0.00005976353,0.00000677206,0.00002195405,0.00000301127,0.6784062,0.00002038318,0.0006331649,0.0001991083],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883253,0.01035248,0.00003796691,0.00001791246,0.00007451681,0.0007809504,0.00005233884,0.00000327584,0.0003552457],"genre_scores_gemma":[0.9935574,0.003185519,0.0027945,0.00001933336,0.00002940706,0.00005728673,0.0001367295,0.00002420246,0.0001956197],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007166958,"threshold_uncertainty_score":0.6853456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009211896440782862,"score_gpt":0.234324360308493,"score_spread":0.2251124638677101,"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."}}