{"id":"W3046344422","doi":"10.1038/s41598-020-69799-x","title":"Expression profiling of human milk derived exosomal microRNAs and their targets in HIV-1 infected mothers","year":2020,"lang":"en","type":"article","venue":"Scientific Reports","topic":"COVID-19 Impact on Reproduction","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University Health Network; McMaster University; Ontario Institute for Cancer Research","funders":"Canadian Institutes of Health Research; McMaster University","keywords":"microRNA; Profiling (computer programming); Gene expression profiling; Human immunodeficiency virus (HIV); Computational biology; Microvesicles; Biology; Bioinformatics; Virology; Medicine; Gene expression; Genetics; Computer science; Gene","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":[0.0006018282,0.0001388049,0.0002902886,0.0002054087,0.00009435446,0.0000364319,0.00004581511,0.00006640484,0.00007364873],"category_scores_gemma":[0.0007321472,0.0001105982,0.00005936636,0.0004683121,0.0002056887,0.0001286164,0.00007406824,0.000136945,0.000002820563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005136942,"about_ca_system_score_gemma":0.0001532042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002762649,"about_ca_topic_score_gemma":0.00000516937,"domain_scores_codex":[0.9982805,0.00005110094,0.000500843,0.0007044492,0.0002501575,0.0002129889],"domain_scores_gemma":[0.9988906,0.00002165511,0.0002979918,0.0005056225,0.0001208491,0.0001633122],"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":[0.0000467854,0.00007037814,0.114194,0.0001600206,0.000008187858,0.0001061995,0.002915123,0.00001989126,0.8817074,0.000001493034,0.0005015346,0.0002689845],"study_design_scores_gemma":[0.0004575975,0.00007952832,0.04002678,0.0001525621,0.00001150857,0.0001043039,0.0004055436,0.0001225216,0.9577139,0.0001577637,0.0006723489,0.00009563459],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973853,0.0002216433,0.0002448341,0.0007988375,0.0005200059,0.000608356,0.000002061566,0.00006977023,0.0001492103],"genre_scores_gemma":[0.9988459,0.000002357626,0.0007817883,0.00009112898,0.00006731199,0.00000914651,0.0000455364,0.00001899947,0.0001377703],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07600655,"threshold_uncertainty_score":0.4510062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838043520664754,"score_gpt":0.289547388872225,"score_spread":0.2611669536655774,"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."}}