{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001673878,0.0001878147,0.0002454472,0.00002611658,0.00008529873,0.0000229489,0.0001351832,0.0001821093,0.00001941975],"category_scores_gemma":[0.00009073314,0.0001551356,0.00006701578,0.00005165868,0.0001656219,0.00000735248,0.00006463435,0.00008226701,0.000001745835],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000941179,"about_ca_system_score_gemma":0.0000256648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008686951,"about_ca_topic_score_gemma":0.000003166733,"domain_scores_codex":[0.9988763,0.0001095237,0.0002321629,0.0004369402,0.0001418246,0.0002032655],"domain_scores_gemma":[0.9992923,0.00003762335,0.00009234003,0.0003747698,0.0001008831,0.0001021191],"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":[0.0003894731,0.0007381098,0.002945147,0.0001173001,0.00008573887,9.613561e-7,0.00006798674,0.00003218714,0.9953886,0.00004547788,0.00001932003,0.0001696449],"study_design_scores_gemma":[0.0008190009,0.0008778314,0.0007554032,0.0001060638,0.0001515522,0.00000179791,0.00006437006,0.003370344,0.9927545,0.0002109201,0.0006634154,0.0002248204],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656247,0.007293211,0.02620318,0.00002504209,0.0000108473,0.0006467283,0.00008837279,0.00001612064,0.00009178469],"genre_scores_gemma":[0.9190869,0.0002292456,0.08019222,0.00001993798,0.0001757817,0.00003484865,0.0001499958,0.00002852983,0.00008254845],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05398903,"threshold_uncertainty_score":0.6326245,"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."}}