{"id":"W2779249506","doi":"10.1007/978-1-4939-7553-2_6","title":"Proteomic Profiling of Secreted Proteins, Exosomes, and Microvesicles in Cell Culture Conditioned Media","year":2017,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto","funders":"Canadian Institutes of Health Research; Terry Fox Foundation; Canada Research Chairs; Campbell Institute","keywords":"Microvesicles; Proteomics; Secretory protein; Cell biology; Secretion; Exosome; Proteome; Extracellular; Differential centrifugation; Biology; Quantitative proteomics; Chemistry; Cell culture; Cell; Microvesicle; Biochemistry; microRNA; Gene","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":[0.0003027271,0.0003377121,0.0004306784,0.0003468393,0.0003222936,0.0006347413,0.0001703821,0.0002469141,0.000523454],"category_scores_gemma":[0.0003804439,0.0001005406,0.0003247902,0.0004830472,0.0002163319,0.0003165163,0.0003038948,0.0004103624,0.0003106463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002354508,"about_ca_system_score_gemma":0.000355424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006993795,"about_ca_topic_score_gemma":0.0007749991,"domain_scores_codex":[0.9997699,0.00002733646,0.00002770317,0.00003967634,0.0000907159,0.0000447772],"domain_scores_gemma":[0.999827,0.0000519374,0.00001741725,0.00001333093,0.00005823735,0.00003210661],"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":[0.0002027221,0.00002838376,0.0007628954,0.00003669116,0.00001180461,0.00007146928,0.0000348856,0.00003917979,0.9976919,0.00005034183,0.00003656471,0.001033381],"study_design_scores_gemma":[0.0000165343,0.000228431,0.03398834,0.00002513368,0.00008712435,0.0003900873,0.0001668598,0.001690586,0.9606751,0.0000899253,0.002627434,0.00001449875],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9892729,0.002142093,0.004277226,0.00009164297,0.00008008296,0.00006599215,0.001919399,0.00004333546,0.002107337],"genre_scores_gemma":[0.9727773,0.00355649,0.009980108,0.0002007653,0.00007315465,0.0002356759,0.006562336,0.00005411853,0.006560083],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0006993795,"threshold_uncertainty_score":0.001751125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013045320356268,"score_gpt":0.3447657931945569,"score_spread":0.3317204728382889,"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."}}