{"id":"W4214838028","doi":"10.3390/cells11050859","title":"Vesicular MicroRNA as Potential Biomarkers of Viral Rebound","year":2022,"lang":"en","type":"article","venue":"Cells","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec; Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Viral load; microRNA; Viremia; Extracellular vesicles; Viral replication; Extracellular vesicle; Biology; Virology; Human immunodeficiency virus (HIV); Replication (statistics); Virus; Immunology; Microvesicles; Medicine; Cell biology; Gene; 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":[0.0001636617,0.0001101537,0.0001008684,0.00003609169,0.00010574,0.00001107003,0.0003029752,0.00005549618,0.0003061165],"category_scores_gemma":[0.00001580424,0.0001278012,0.0001554554,0.00007223657,0.0001168829,0.000001941649,0.0003135637,0.00007681504,0.00002725175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001791915,"about_ca_system_score_gemma":0.00009208882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001630889,"about_ca_topic_score_gemma":4.851505e-7,"domain_scores_codex":[0.9990599,0.0001037128,0.0001836192,0.0002848961,0.0001776193,0.0001902199],"domain_scores_gemma":[0.9993709,0.000004186955,0.00009731702,0.0004193885,0.00003013162,0.00007808543],"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":[0.0001479369,0.0001204722,0.00009942986,0.00001674033,0.00007812608,0.00005269103,0.00002105984,0.0001975566,0.9913636,0.00004352455,0.007322263,0.0005365523],"study_design_scores_gemma":[0.0004390019,0.0001999397,0.0001414652,0.000002113433,0.00003521423,0.00002383692,0.0001051648,0.00003596884,0.9431129,0.000197657,0.05556136,0.0001454104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948655,0.002448983,0.000279157,0.00005233947,0.0003427573,0.0001477462,0.00006225888,0.000008636835,0.001792628],"genre_scores_gemma":[0.9973885,0.000031413,0.0005481848,0.0001899528,0.00009351656,0.00001317997,0.0001377518,0.00002550401,0.001571949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04825078,"threshold_uncertainty_score":0.5211582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003293215740068378,"score_gpt":0.2114151713472919,"score_spread":0.2081219556072235,"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."}}