{"id":"W4379768731","doi":"10.1038/s41598-023-36370-3","title":"Small RNA sequencing analysis of peptide-affinity isolated plasma extracellular vesicles distinguishes pancreatic cancer patients from non-affected individuals","year":2023,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atlantic Cancer Research Institute; Dr. Georges-L.-Dumont University Hospital Centre; Université de Moncton; Beatrice Hunter Cancer Research Institute","funders":"Canadian Cancer Society Research Institute; Fondation de la recherche en santé du Nouveau-Brunswick; Cancer Research Institute","keywords":"Pancreatic cancer; Liquid biopsy; RNA; Extracellular vesicles; Small RNA; Computational biology; Microvesicles; Extracellular vesicle; Disease; Bioinformatics; Medicine; Biology; microRNA; Asymptomatic; Nanoparticle tracking analysis; Cancer; Gene; Internal medicine; Genetics; Cell biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002363027,0.0002126831,0.0001955956,0.0004065229,0.0001914439,0.0003238799,0.0001189499,0.0003943233,0.0008233567],"category_scores_gemma":[0.0007700928,0.00007250793,0.0002921116,0.0001781508,0.0001584291,0.0001081794,0.0002172868,0.0003344645,0.0003119234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001030498,"about_ca_system_score_gemma":0.000105952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002427475,"about_ca_topic_score_gemma":0.0002206779,"domain_scores_codex":[0.9997615,0.00004353304,0.00002499882,0.00008767922,0.00005585255,0.00002638253],"domain_scores_gemma":[0.9997287,0.0001122724,0.00006686738,0.00001982354,0.00004506387,0.00002722642],"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":[0.0007213734,0.00006447619,0.05022896,0.0001662206,0.00007384122,0.0008762254,0.0003341351,0.0004058809,0.9284521,0.0002254588,0.0003114057,0.01813991],"study_design_scores_gemma":[0.00005848642,0.001137121,0.2900549,0.00009610143,0.000213955,0.007711463,0.0007305704,0.006362056,0.6824161,0.0007512631,0.01041938,0.00004861311],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917237,0.00106904,0.004921057,0.0000997932,0.00004103872,0.00003415591,0.001066963,0.00004994104,0.0009943178],"genre_scores_gemma":[0.9916967,0.0005720248,0.005013677,0.0001925836,0.00002212006,0.00006239377,0.001617058,0.00002689713,0.0007966176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008233567,"threshold_uncertainty_score":0.00275439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01828281121705483,"score_gpt":0.2488979009356512,"score_spread":0.2306150897185964,"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."}}