{"id":"W4361207696","doi":"10.3390/cells12071030","title":"Exosomal miRNAs in the Tumor Microenvironment of Multiple Myeloma","year":2023,"lang":"en","type":"review","venue":"Cells","topic":"Multiple Myeloma Research and Treatments","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Leukemia and Lymphoma Society of Canada; Cancer Research Society; Leukemia and Lymphoma Society","keywords":"Microvesicles; microRNA; Tumor microenvironment; Crosstalk; Epigenetics; Multiple myeloma; Biology; Cancer research; Exosome; Bone marrow; Phenotype; Tumor progression; Immunology; Gene; Genetics; Tumor cells","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000304585,0.0003337297,0.001318442,0.0002418714,0.00003473469,0.00001257883,0.0003325859,0.0001305134,0.0001780838],"category_scores_gemma":[0.0000954683,0.0001914086,0.0004798353,0.0003427893,0.0001184354,0.00001848267,0.0001254424,0.0004138641,0.001762759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675708,"about_ca_system_score_gemma":0.0001781038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009245126,"about_ca_topic_score_gemma":0.00002437974,"domain_scores_codex":[0.9978522,0.0002285047,0.0006044097,0.0003781459,0.000489631,0.0004470736],"domain_scores_gemma":[0.9983961,0.0005650805,0.0002010304,0.0006917185,0.00001512969,0.0001309431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001106397,0.001281603,0.0009731359,0.04853566,0.0007080782,0.004819032,0.0003044713,7.053408e-7,0.0003057846,0.000008828278,0.003623931,0.9393281],"study_design_scores_gemma":[0.00141751,0.0002047955,0.002039345,0.009423956,0.0004069156,0.0001059346,0.00007331994,0.000008998913,0.0003429299,0.000003926566,0.985805,0.0001673297],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002159102,0.9943134,9.460369e-7,0.0000369638,0.0001034373,0.00254291,0.0001453681,0.00002007309,0.0006778265],"genre_scores_gemma":[0.0006327662,0.9959373,0.0001674767,0.00003409233,0.0001069568,0.0003096957,0.0002131361,0.00006714642,0.002531363],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9821811,"threshold_uncertainty_score":0.9990145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08893258433723726,"score_gpt":0.3530334594701028,"score_spread":0.2641008751328655,"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."}}