{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007519857,0.0006368057,0.000534031,0.000457566,0.0003578719,0.0006000495,0.0004374186,0.0008319399,0.001815015],"category_scores_gemma":[0.0005243357,0.0003659438,0.0004186101,0.0002441844,0.0002989296,0.0006311748,0.0006621384,0.001157489,0.001699145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002974337,"about_ca_system_score_gemma":0.0004443321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002234914,"about_ca_topic_score_gemma":0.0004634488,"domain_scores_codex":[0.9995137,0.00007857536,0.00003822867,0.0001280191,0.000197143,0.00004421926],"domain_scores_gemma":[0.9998001,0.00006622741,0.0000313965,0.00002295412,0.00005790892,0.00002143715],"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":[0.00003654695,0.00002093033,0.0001062451,0.0001414189,0.000008924814,0.0000551358,0.00002859947,0.0002390132,0.989632,0.0007794851,0.0005776756,0.008373907],"study_design_scores_gemma":[0.00002210623,0.0001802933,0.0005318474,0.00002071788,0.00002107379,0.000291938,0.00002060639,0.009104922,0.9649393,0.0005529553,0.02427957,0.00003469883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.126808,0.006176349,0.851549,0.0005505208,0.0006045401,0.000857652,0.002479347,0.004775001,0.006199548],"genre_scores_gemma":[0.303034,0.005440491,0.6719049,0.0008652485,0.0002171908,0.003341394,0.005746764,0.0006654526,0.008784519],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001815015,"threshold_uncertainty_score":0.006071866,"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."}}