{"id":"W3201665227","doi":"10.3389/fcell.2021.734950","title":"Extracellular Vesicle Proteomes Shed Light on the Evolutionary, Interactive, and Functional Divergence of Their Biogenesis Mechanisms","year":2021,"lang":"en","type":"article","venue":"Frontiers in Cell and Developmental Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University of Toronto; Hospital for Sick Children; Princess Margaret Cancer Centre; University Health Network","funders":"Natural Sciences and Engineering Research Council of Canada; Samsung; McGill University; Fonds De La Recherche Scientifique - FNRS; National Research Foundation; Canadian Institutes of Health Research; Genome Canada; Roswell Park Cancer Institute","keywords":"Microvesicles; Biology; Biogenesis; Proteome; Endomembrane system; Extracellular vesicle; Cell biology; Proteomics; Protein targeting; Computational biology; Membrane protein; Genetics; Gene; microRNA; Golgi apparatus","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":[0.0001341865,0.0001476697,0.0001444806,0.0000487739,0.00009353933,0.000007880053,0.00009772008,0.000118712,0.00008793661],"category_scores_gemma":[0.00004641362,0.0001113306,0.0000413143,0.00009168275,0.0001766599,0.000005561518,0.000215501,0.00007553358,0.000003588407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002506564,"about_ca_system_score_gemma":0.00009032897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004692328,"about_ca_topic_score_gemma":0.000002880922,"domain_scores_codex":[0.9990658,0.0001229697,0.0001999918,0.0003773662,0.00006382575,0.0001700816],"domain_scores_gemma":[0.9996713,0.00002850841,0.0000680887,0.0001367379,0.00004164115,0.00005376171],"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":[0.0001470303,0.0001166731,0.03189027,0.00001806615,0.00004816883,0.000007280202,0.0001052868,0.000002348545,0.9638684,0.0005065249,0.001435383,0.001854511],"study_design_scores_gemma":[0.0003931316,0.0001114953,0.01522505,0.00001522577,0.000008092123,0.00001616927,0.001124734,0.00006633801,0.9749121,0.002755478,0.00521043,0.0001617282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814613,0.01078906,0.006559703,0.0002122892,0.0002844123,0.0001907267,0.0000445625,0.000004920459,0.0004530082],"genre_scores_gemma":[0.989931,0.0006481622,0.00870729,0.0001122723,0.00002502404,0.00003675802,0.0001011407,0.0000101194,0.0004282363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01666521,"threshold_uncertainty_score":0.4539931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007030457111484926,"score_gpt":0.1929750850945136,"score_spread":0.1859446279830287,"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."}}