{"id":"W4229459416","doi":"10.1021/acs.analchem.2c00846","title":"Extracellular Vesicle (EV) Dot Blotting for Multiplexed EV Protein Detection in Complex Biofluids","year":2022,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Chemistry; Blot; Extracellular vesicles; Immunoassay; Detection limit; Extracellular vesicle; Multiplexing; Antibody; Chromatography; Microvesicles; microRNA; Biochemistry; Cell biology; Gene; Immunology; Biology","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":[0.0009442546,0.001115994,0.0007649354,0.0008321881,0.000311531,0.0005927275,0.0005813611,0.001109509,0.001136033],"category_scores_gemma":[0.0007230107,0.0004964354,0.000548719,0.0005135694,0.0003914885,0.0006036757,0.000722763,0.00101728,0.0006961604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003925914,"about_ca_system_score_gemma":0.0001700972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002882171,"about_ca_topic_score_gemma":0.0005008104,"domain_scores_codex":[0.9987897,0.0002588003,0.0001039867,0.0004886164,0.0002411114,0.0001177733],"domain_scores_gemma":[0.9996221,0.0001529928,0.00006682557,0.00003874405,0.00008316641,0.00003612203],"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":[0.00002872447,0.00002497497,0.00008993171,0.00008136005,0.00001142716,0.00003072161,0.00003429994,0.0001239015,0.9975624,0.000138573,0.00009186329,0.00178181],"study_design_scores_gemma":[0.000004065666,0.00008154156,0.0004327031,0.000006903062,0.00001302948,0.00008024935,0.00001667853,0.004998454,0.9933242,0.0000715253,0.0009604398,0.00001018504],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5085471,0.002319643,0.4827579,0.0003392255,0.0002647308,0.0003177964,0.0007783937,0.001880919,0.002794342],"genre_scores_gemma":[0.5099543,0.003231715,0.4772266,0.0004623057,0.00007933329,0.001002886,0.001388913,0.0001695392,0.006484444],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001136033,"threshold_uncertainty_score":0.004993796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01824130847070018,"score_gpt":0.264906988083097,"score_spread":0.2466656796123968,"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."}}