{"id":"W2762010667","doi":"10.3390/proteomes5040025","title":"Differential Proteome Analysis of Extracellular Vesicles from Breast Cancer Cell Lines by Chaperone Affinity Enrichment","year":2017,"lang":"en","type":"article","venue":"Proteomes","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Atlantic Cancer Research Institute","funders":"Dalhousie University; Breast Cancer Society of Canada; Beatrice Hunter Cancer Research Institute; Cancer Research Institute","keywords":"Proteome; SKBR3; Chaperone (clinical); Biology; Cancer cell; Heat shock protein; Computational biology; Proteomics; Biomarker discovery; Phenotype; Cell biology; Cell; Cell culture; Cancer; Biochemistry; Gene; Human breast; Genetics","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":[0.0001922094,0.0003046296,0.0003010388,0.0005256317,0.0002372174,0.0004108501,0.0001556169,0.0002096853,0.000448651],"category_scores_gemma":[0.0002625017,0.00009800646,0.0002821643,0.0004761041,0.000120007,0.0001987413,0.0003894522,0.0003878915,0.0003968214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431787,"about_ca_system_score_gemma":0.0001850266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005292872,"about_ca_topic_score_gemma":0.0009030772,"domain_scores_codex":[0.9998789,0.00001317679,0.00001151031,0.00002500223,0.00004490704,0.00002643819],"domain_scores_gemma":[0.9999073,0.00002513434,0.00001429515,0.00001184701,0.00003143875,0.000009959323],"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":[0.00003081413,0.000006317408,0.0002754342,0.00002576902,0.000004506468,0.00003584422,0.00001415136,0.00003336053,0.9981572,0.00003380319,0.00002485368,0.001357868],"study_design_scores_gemma":[0.000005328102,0.00007540313,0.0120088,0.00001395785,0.00002655667,0.000487982,0.00006652424,0.001409766,0.9811276,0.00009647583,0.004672395,0.00000913484],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9634115,0.002232956,0.02738819,0.0001416821,0.00004965719,0.0001320167,0.004162755,0.0002086328,0.002272561],"genre_scores_gemma":[0.9308541,0.004587788,0.04599765,0.0001942312,0.00002796338,0.0003044542,0.01348184,0.0001654026,0.004386639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005292872,"threshold_uncertainty_score":0.001500845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009538096342241342,"score_gpt":0.2577567355055072,"score_spread":0.2482186391632659,"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."}}