{"id":"W2544530174","doi":"10.1158/0008-5472.can-15-3231","title":"Enhanced Detection of Cancer Biomarkers in Blood-Borne Extracellular Vesicles Using Nanodroplets and Focused Ultrasound","year":2016,"lang":"en","type":"article","venue":"Cancer Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Extracellular vesicle; HT1080; Extracellular; Biology; Fibrosarcoma; Sonication; Vesicle; Extracellular vesicles; Cancer research; Molecular biology; Microvesicles; Cell biology; Chemistry; Biochemistry; microRNA; 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":[0.0006054471,0.0001445068,0.0001625806,0.0001639356,0.00008195517,0.00001970925,0.0002083195,0.0001577546,0.00006202823],"category_scores_gemma":[0.0002328149,0.0001217267,0.00005229251,0.0003104808,0.0004575579,0.00001315667,0.0001178541,0.0001125681,0.000001600753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009043587,"about_ca_system_score_gemma":0.0002359488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008918991,"about_ca_topic_score_gemma":0.0009418303,"domain_scores_codex":[0.9982593,0.0002325324,0.0002682088,0.0004986142,0.0003004775,0.0004408381],"domain_scores_gemma":[0.9991303,0.00008317969,0.00008624763,0.00037712,0.0001885453,0.0001346058],"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":[0.0002963849,0.00007203998,0.006344707,0.00007400173,0.00009634919,0.00001043838,0.00005118792,0.00001239558,0.9698505,0.00001688371,0.00001661309,0.02315853],"study_design_scores_gemma":[0.001258734,0.0001140718,0.005596366,0.0001686414,0.00002356892,0.000004331793,0.00004715646,0.00001767493,0.9921167,0.0001703143,0.0003187108,0.0001636935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728779,0.02567138,0.0008916369,0.00008057467,0.00007874068,0.0003154235,0.00004472049,0.000007184895,0.00003241107],"genre_scores_gemma":[0.9950712,0.00430102,0.0001839713,0.000007906795,0.0001191825,0.00009852837,0.000003675944,0.00003773181,0.0001767833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02299484,"threshold_uncertainty_score":0.4963873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0305685347699926,"score_gpt":0.3439535922335131,"score_spread":0.3133850574635205,"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."}}