{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004655696,0.0001224797,0.0001321551,0.0001043617,0.0001368125,0.00003400746,0.0003277237,0.00009715465,0.0001270773],"category_scores_gemma":[0.0001736944,0.0001058712,0.00008585666,0.0002307689,0.000471825,0.000009275329,0.0001213436,0.0001204065,0.00001716079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002927768,"about_ca_system_score_gemma":0.0001926463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001439259,"about_ca_topic_score_gemma":0.000294632,"domain_scores_codex":[0.9986005,0.0001089523,0.0001963367,0.0003801869,0.0003056128,0.0004084274],"domain_scores_gemma":[0.9985839,0.0000898999,0.00006666358,0.000496099,0.00063133,0.0001320735],"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":[0.0004922168,0.0001973319,0.02950048,0.00006478187,0.00009501463,0.000003561679,0.0001184129,0.000003053845,0.9511897,0.0001960071,0.01392672,0.004212751],"study_design_scores_gemma":[0.0005767167,0.0009243445,0.003616198,0.00007080016,0.00002239151,0.000002907964,0.00008951144,0.00004463553,0.9220319,0.0001188605,0.07236693,0.000134756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942722,0.003363298,0.0006220433,0.000219769,0.00009618829,0.0004397788,0.0001247274,0.000009950932,0.0008520586],"genre_scores_gemma":[0.9921148,0.0002267032,0.000993723,0.0000189699,0.0005256145,0.0006400576,0.00004473368,0.0000413814,0.005394001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05844021,"threshold_uncertainty_score":0.4317301,"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."}}