{"id":"W2021065026","doi":"10.1371/journal.pone.0110443","title":"Rapid Isolation of Extracellular Vesicles from Cell Culture and Biological Fluids Using a Synthetic Peptide with Specific Affinity for Heat Shock Proteins","year":2014,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":187,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; University of New Brunswick; Mount Allison University; Atlantic Cancer Research Institute; Crandall University; Université de Moncton","funders":"Canadian Institutes of Health Research; Atlantic Canada Opportunities Agency; New Brunswick Innovation Foundation","keywords":"Nanoparticle tracking analysis; Microvesicles; Vesicle; Extracellular vesicle; Extracellular; Biochemistry; Nucleic acid; Extracellular vesicles; Peptide; Biology; Cell biology; Heat shock protein; Chemistry; Biophysics; Membrane; microRNA","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":[0.0003249909,0.0002851123,0.0002327845,0.0001962461,0.0001602641,0.0003101814,0.0002003421,0.0003086769,0.0002625881],"category_scores_gemma":[0.0003335321,0.0001146787,0.0001955506,0.0001033054,0.0002175855,0.0002480257,0.0004104328,0.0004052366,0.0001715017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001589853,"about_ca_system_score_gemma":0.000182111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001355634,"about_ca_topic_score_gemma":0.0003343174,"domain_scores_codex":[0.9998326,0.00003298761,0.00001756223,0.00003718186,0.00005600855,0.00002358845],"domain_scores_gemma":[0.9998674,0.00004299071,0.00002883935,0.0000144273,0.00002385698,0.00002247464],"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":[0.00001487813,0.00000395749,0.00005077021,0.00002242943,0.000002203452,0.0000216123,0.00000487869,0.00006504814,0.998659,0.00007851265,0.00001146734,0.001065081],"study_design_scores_gemma":[0.000005035345,0.00007304055,0.0007737458,0.000009336645,0.000004566284,0.0003023728,0.00001110285,0.001131732,0.995719,0.00007341115,0.001891903,0.000004858106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9073759,0.004077339,0.08549801,0.0001696958,0.00008213671,0.0002948079,0.0004213131,0.0001034468,0.001977441],"genre_scores_gemma":[0.8980622,0.002414574,0.09602598,0.0001805691,0.00002544732,0.000179302,0.001062919,0.00004003387,0.002008886],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0003249909,"threshold_uncertainty_score":0.00171876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0327776290894931,"score_gpt":0.2158530509291232,"score_spread":0.1830754218396301,"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."}}