{"id":"W4416754239","doi":"10.1088/1361-6528/ae2516","title":"Development of a silver nanoparticle embedded membrane platform for highly sensitive and multiplexed detection of extracellular vesicle proteins","year":2025,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Fluorophore; Fluorescence; Multiplex; Nanoparticle; Membrane; Lysis; Silver nanoparticle; Biosensor; Detection limit","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":[0.0002053249,0.0001428136,0.0002256706,0.0001211802,0.00007462645,0.000004128719,0.0001315748,0.0003306452,0.000001577769],"category_scores_gemma":[0.0002482668,0.0001492982,0.0000647565,0.0001694486,0.0002307709,0.00000621347,0.0001353345,0.00007260662,9.711115e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002419767,"about_ca_system_score_gemma":0.0001178067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005160408,"about_ca_topic_score_gemma":0.00003927307,"domain_scores_codex":[0.998957,0.00002220108,0.0003894386,0.0003288874,0.0000816594,0.0002207554],"domain_scores_gemma":[0.9993014,0.00002849262,0.0001679829,0.0003247229,0.0001412862,0.00003616944],"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":[0.0004796961,0.0001453886,0.00005195709,0.0001518453,0.00009044688,0.000001763914,0.0001175914,0.00001387552,0.9807813,0.0006355662,0.000006729393,0.01752388],"study_design_scores_gemma":[0.00149177,0.0002133467,0.0001406841,0.00003329492,0.00003987355,0.000004415213,0.0002822746,0.0006134626,0.9945845,0.0002535736,0.002209593,0.0001332129],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779441,0.0007330766,0.02042813,0.00005575986,0.00005718986,0.0007133925,0.00001651752,0.00003104695,0.00002077974],"genre_scores_gemma":[0.9743244,0.00001255388,0.02533102,0.00001850354,0.00001039339,0.0001023406,0.00001734459,0.00001621345,0.0001672134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01739066,"threshold_uncertainty_score":0.6088206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008438801173774487,"score_gpt":0.2389732025219336,"score_spread":0.2305344013481591,"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."}}