{"id":"W4376134522","doi":"10.1021/acs.analchem.3c00357","title":"Alternating Magnetic Field-Promoted Nanoparticle Mixing: The On-Chip Immunocapture of Serum Neuronal Exosomes for Parkinson’s Disease Diagnostics","year":2023,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NIHR Oxford Biomedical Research Centre; Medical Research Council; Cancer Research UK; Weston Family Foundation; Parkinson's UK; National Institute for Health and Care Research; Michael J. Fox Foundation for Parkinson's Research","keywords":"Exosome; Chemistry; Microvesicles; Microfluidics; Nanotechnology; Biomarker; microRNA; Biochemistry; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001852691,0.0001844035,0.0001513291,0.00001604108,0.00009964253,0.00003074938,0.0004070948,0.000108215,0.00007807918],"category_scores_gemma":[0.001840921,0.0001519861,0.0002073017,0.00015242,0.0001408295,0.000003375193,0.0001745869,0.0001456114,0.0000136565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009794425,"about_ca_system_score_gemma":0.00007438875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002070326,"about_ca_topic_score_gemma":7.090444e-7,"domain_scores_codex":[0.9987033,0.00003921578,0.0002870745,0.0003834275,0.0002317331,0.0003552742],"domain_scores_gemma":[0.9987348,0.000317672,0.00008527622,0.0005977822,0.00007799698,0.0001864314],"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":[0.0003583121,0.0002765089,0.01973662,0.0003003729,0.000116952,0.00005405423,0.00003857397,0.0006050614,0.9685671,0.0001956038,0.007473289,0.002277605],"study_design_scores_gemma":[0.0007096066,0.0002497037,0.01880899,0.00005435844,0.0001431365,0.000003846847,0.00007986097,0.01330361,0.9596185,0.0007670324,0.005987579,0.0002737537],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968804,0.0007529414,0.00007698074,0.001562411,0.00007051735,0.0001890019,0.0001275711,0.00002888647,0.0003113258],"genre_scores_gemma":[0.9977194,0.0001114927,0.00006723976,0.0004512008,0.0002819023,0.00004409504,0.0001009711,0.00003292053,0.00119076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01269855,"threshold_uncertainty_score":0.6197815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359467243574756,"score_gpt":0.2634714153075436,"score_spread":0.2498767428717961,"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."}}