{"id":"W4408676806","doi":"10.1002/jev2.70058","title":"Next Generation Aqueous Two‐Phase System for Gentle, Effective, and Timely Extracellular Vesicle Isolation and Transcriptomic Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Extracellular Vesicles","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Toronto Metropolitan University; St. Michael's Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"RNA extraction; RNA; Polyethylene glycol; Chemistry; CD81; Microvesicles; Trizol; CD63; Exosome; Chromatography; Vesicle; Cell biology; Molecular biology; microRNA; Biology; Biochemistry; Gene; Virus; Virology; Membrane","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":[0.001101819,0.0003315167,0.0005304091,0.0004107023,0.0002491717,0.0001952483,0.0002265836,0.0002200028,0.000007769297],"category_scores_gemma":[0.0001394624,0.0003295104,0.0003947107,0.0003460448,0.0001542376,0.00006717975,0.00005553837,0.0001807605,0.000001302923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007732128,"about_ca_system_score_gemma":0.0001107736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009696873,"about_ca_topic_score_gemma":0.00001611658,"domain_scores_codex":[0.9977301,0.0002797052,0.0009130693,0.0005141316,0.0002352457,0.0003277947],"domain_scores_gemma":[0.9984627,0.00009605007,0.0005474411,0.0003754798,0.0002967977,0.000221491],"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":[0.0006603517,0.0002483172,0.001157518,0.0001950261,0.0009876119,0.00003613926,0.00009539785,0.000586643,0.972761,0.0008550201,0.0002684459,0.02214851],"study_design_scores_gemma":[0.006555757,0.000862345,0.001331699,0.0001058104,0.003062608,0.0001351516,0.0003872761,0.0765498,0.9057456,0.0002875713,0.004514234,0.0004621843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7245433,0.0663939,0.2081607,0.00009571145,0.0001965422,0.000532297,0.00002669773,0.00001378205,0.0000370439],"genre_scores_gemma":[0.990396,0.0004507362,0.008211417,0.0000470775,0.0003790201,0.00003364796,0.00008073373,0.00004224546,0.0003591138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2658527,"threshold_uncertainty_score":0.9999157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280108453826278,"score_gpt":0.2742383462892627,"score_spread":0.261437261751,"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."}}