{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004548805,0.0002279696,0.000212499,0.00003816302,0.0002201748,0.00003228136,0.0003540581,0.0001519394,0.000251023],"category_scores_gemma":[0.0003739887,0.0002735549,0.0002118347,0.0002293733,0.0001177677,0.000005946011,0.0001646595,0.0002688538,0.000005566581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001218682,"about_ca_system_score_gemma":0.00009002364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002038547,"about_ca_topic_score_gemma":0.000006224835,"domain_scores_codex":[0.9981232,0.0000745752,0.0004303477,0.0006459372,0.0002568155,0.000469153],"domain_scores_gemma":[0.9991244,0.00003321501,0.0001040442,0.0005023656,0.00006393787,0.0001720352],"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":[0.0002645657,0.0002917102,0.0006603267,0.0001034129,0.00003830266,0.00002354656,0.00001392547,0.0002165254,0.9968541,0.00005066541,0.0003125341,0.001170419],"study_design_scores_gemma":[0.001316717,0.0001217495,0.0002876745,0.000008673711,0.00003565798,0.00001713361,0.0001887391,0.01460174,0.9663381,0.0001678579,0.01657917,0.000336768],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959208,0.000861311,0.001908722,0.0001531437,0.00003219557,0.0004858009,0.00006849923,0.0000373659,0.0005321351],"genre_scores_gemma":[0.9956174,0.00000385311,0.00110924,0.00007629523,0.0002279222,0.0003182779,0.0003937016,0.00005114192,0.002202208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03051595,"threshold_uncertainty_score":0.9999717,"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."}}