{"id":"W3166742236","doi":"10.3390/biom11060833","title":"Review of Methodological Approaches to Human Milk Small Extracellular Vesicle Proteomics","year":2021,"lang":"en","type":"review","venue":"Biomolecules","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; University of Toronto; Children's Hospital of Eastern Ontario; University of Ottawa","funders":"Canadian Institutes of Health Research; Ontario Ministry of Economic Development, Job Creation and Trade; Ministero dello Sviluppo Economico; Lions Clubs International Foundation","keywords":"Proteomics; Proteome; Microvesicles; Computational biology; Extracellular vesicles; Biology; Population; Extracellular vesicle; Quantitative proteomics; Chemistry; Bioinformatics; Cell biology; Biochemistry; Medicine","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":[0.001213871,0.0006694865,0.001954666,0.0001137331,0.00007606607,0.00003422525,0.0009894742,0.00063568,0.00005172821],"category_scores_gemma":[0.000857982,0.0005896032,0.001274469,0.0004172753,0.0002680561,0.00000246676,0.0007349526,0.0002561965,0.00002848929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004728277,"about_ca_system_score_gemma":0.0003633861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006711055,"about_ca_topic_score_gemma":0.000003326802,"domain_scores_codex":[0.9955579,0.001387897,0.001170914,0.001175886,0.0002449003,0.0004625063],"domain_scores_gemma":[0.9973692,0.00006116668,0.0005957593,0.001547828,0.0001224373,0.0003036635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002262243,0.0007312567,0.000002768079,0.228955,0.0007610625,0.0001663778,0.00001596452,0.000001162475,0.189239,0.003049033,0.005332983,0.5717227],"study_design_scores_gemma":[0.0001233393,0.0001966329,5.661493e-7,0.03735831,0.0007640103,0.00006629736,0.00001201171,4.991666e-7,0.05365601,0.00003527758,0.9071316,0.0006555057],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001080914,0.9879226,0.009359223,0.00005975599,0.00009079474,0.001947067,0.0001471679,0.00002495048,0.0003403568],"genre_scores_gemma":[0.00000985361,0.9388573,0.05834531,0.0002098113,0.0002385542,0.0003855418,0.001421078,0.0001220732,0.0004104416],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9017985,"threshold_uncertainty_score":0.9996555,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3696946636031698,"score_gpt":0.3936277389547357,"score_spread":0.02393307535156591,"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."}}