{"id":"W2969983976","doi":"10.1039/c9an00777f","title":"Exosome-specific tumor diagnosis<i>via</i>biomedical analysis of exosome-containing microRNA biomarkers","year":2019,"lang":"en","type":"article","venue":"The Analyst","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Infection and Immunity","funders":"Science and Technology Bureau, Guiyang Municipal Government; National Natural Science Foundation of China","keywords":"Exosome; Microvesicles; microRNA; Computational biology; Liquid biopsy; Cancer research; Medicine; Chemistry; Biology; Cancer; Gene; Biochemistry; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004565896,0.0007139225,0.0003415646,0.0004512975,0.0001731557,0.0004858792,0.0002285867,0.0005987101,0.0006150098],"category_scores_gemma":[0.0005359649,0.000210042,0.0002990912,0.0002181501,0.0003674235,0.0006181249,0.0004269563,0.0004057565,0.0004272928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850567,"about_ca_system_score_gemma":0.0002780135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002371423,"about_ca_topic_score_gemma":0.0003757775,"domain_scores_codex":[0.9996095,0.00008682538,0.00003418116,0.0001379513,0.00008907956,0.00004235422],"domain_scores_gemma":[0.9998658,0.00003306824,0.00004018538,0.00001071286,0.00003690689,0.00001327901],"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":[0.00004410017,0.00001160104,0.0003591329,0.00009152017,0.000009384436,0.0000746039,0.00001983391,0.0001058715,0.9932728,0.0003560613,0.0001520659,0.005503101],"study_design_scores_gemma":[0.00000388222,0.00003913813,0.0004778971,0.00000451513,0.000008499708,0.0001665761,0.00001064221,0.001510305,0.9965227,0.00008665206,0.001162524,0.000006676564],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6213543,0.008549792,0.3608281,0.0008585784,0.0002816163,0.0003480517,0.0008364253,0.001142888,0.005800185],"genre_scores_gemma":[0.8736432,0.003766795,0.1172827,0.0005710673,0.00006240466,0.0002059842,0.0004708873,0.00008040919,0.003916638],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0007139225,"threshold_uncertainty_score":0.002414703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007957778394857439,"score_gpt":0.2347002236221157,"score_spread":0.2267424452272582,"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."}}