{"id":"W2897100155","doi":"10.1155/2018/3917986","title":"Nano–Bio Interactions of Extracellular Vesicles with Gold Nanoislands for Early Cancer Diagnosis","year":2018,"lang":"en","type":"article","venue":"Research","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atlantic Cancer Research Institute; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; New Brunswick Innovation Foundation","keywords":"Microvesicles; Exosome; Liquid biopsy; Nanotechnology; Nanoparticle tracking analysis; Vesicle; Materials science; Cell biology; microRNA; Chemistry; Cancer; Medicine; Biology; Membrane; Biochemistry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002461589,0.0003227059,0.0002232243,0.0001819945,0.0001388039,0.0003234615,0.0002772985,0.0005189741,0.0004416302],"category_scores_gemma":[0.0002861513,0.0001811683,0.0002398993,0.00007820695,0.0001740399,0.0003201689,0.0003880169,0.0002599655,0.0003638997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002379089,"about_ca_system_score_gemma":0.00009448145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000204917,"about_ca_topic_score_gemma":0.0002618668,"domain_scores_codex":[0.9998208,0.00004240541,0.000007903437,0.00005150234,0.00005289779,0.00002460055],"domain_scores_gemma":[0.9999152,0.00003064606,0.00001845257,0.000009633689,0.00001381704,0.00001214078],"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":[0.00003053629,0.0000177062,0.00007223299,0.00005610825,0.000005512209,0.00005887653,0.00001779158,0.000493229,0.9958273,0.000418533,0.0001007025,0.002901559],"study_design_scores_gemma":[0.000007761513,0.0000941714,0.0002891318,0.000006002278,0.000006188065,0.00006763991,0.00001119949,0.004828676,0.9930183,0.0001022865,0.001561958,0.000006699986],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425746,0.007172017,0.04191924,0.0003767686,0.0001915916,0.00008801483,0.00009631286,0.0003600476,0.007221485],"genre_scores_gemma":[0.9766985,0.001408489,0.01878922,0.0001367593,0.00003139572,0.0000392338,0.00005841483,0.00002726992,0.002810748],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005189741,"threshold_uncertainty_score":0.001726151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04480275258847599,"score_gpt":0.37475722049248,"score_spread":0.329954467904004,"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."}}