{"id":"W2791173205","doi":"10.1007/978-1-4939-7652-2_1","title":"Extracellular RNAs: A New Awareness of Old Perspectives","year":2018,"lang":"en","type":"review","venue":"Methods in molecular biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":92,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"National Cancer Institute","keywords":"Extracellular vesicles; Compartmentalization (fire protection); Biogenesis; Biomarker; Cancer biomarkers; Computational biology; Extracellular vesicle; Microvesicles; RNA; Biomarker discovery; Liquid biopsy; Biology; Cancer; Proteomics; microRNA; Cell biology; Biochemistry; Gene; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001774288,0.0008338742,0.002120513,0.0004442589,0.00004766753,0.000019536,0.001362695,0.001565229,0.00009227262],"category_scores_gemma":[0.001518624,0.0007847985,0.001136774,0.0005696471,0.0006867322,0.000003787563,0.000693697,0.0004976433,0.00001949082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008229639,"about_ca_system_score_gemma":0.0009861728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005433378,"about_ca_topic_score_gemma":0.0000118871,"domain_scores_codex":[0.9928401,0.003400499,0.001294882,0.00161263,0.0001628568,0.0006890879],"domain_scores_gemma":[0.9967391,0.0001616954,0.0007811111,0.001913472,0.0001646649,0.0002399705],"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":[0.00008094971,0.0004266603,0.00009121661,0.004796386,0.0008587448,0.0001253999,0.0001679878,0.000006603258,0.2281711,0.005631539,0.0004730224,0.7591704],"study_design_scores_gemma":[0.0004876552,0.0003842872,0.000001887132,0.001502114,0.0004947009,0.00007228877,0.00007046454,0.000007488808,0.03934964,0.001993607,0.954771,0.0008649093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006638272,0.6366804,0.3621713,0.000007475268,0.0002707996,0.000542357,0.00004361009,0.00001513156,0.0002025294],"genre_scores_gemma":[0.000006167591,0.6726315,0.3254176,0.00002054573,0.0003090559,0.00008382454,0.0002529929,0.0001259775,0.001152268],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.954298,"threshold_uncertainty_score":0.9997309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04842982987489415,"score_gpt":0.4484691963376379,"score_spread":0.4000393664627437,"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."}}