{"id":"W4391232279","doi":"10.3390/cancers16030520","title":"Surface Proteome of Extracellular Vesicles and Correlation Analysis Reveal Breast Cancer Biomarkers","year":2024,"lang":"en","type":"article","venue":"Cancers","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Proteome; Western blot; Breast cancer; Proteomics; Biomarker; Biology; Transmembrane protein; Cancer biomarkers; Cancer research; Chemistry; Molecular biology; Computational biology; Cancer; Bioinformatics; Biochemistry; Genetics; Gene; Receptor","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002228118,0.0003223867,0.000382647,0.001177752,0.0001710554,0.0005438132,0.0001029315,0.0002536543,0.0003955827],"category_scores_gemma":[0.0003824197,0.0001145973,0.000464578,0.0012241,0.00009519843,0.0002798724,0.0003554427,0.0002032015,0.0002144434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761263,"about_ca_system_score_gemma":0.0001893608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008662579,"about_ca_topic_score_gemma":0.0006784982,"domain_scores_codex":[0.9998277,0.00002273772,0.0000130456,0.00005426355,0.00004711941,0.00003514139],"domain_scores_gemma":[0.9998597,0.00002503521,0.00005712054,0.000008130144,0.00003685715,0.00001314816],"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":[0.0008831628,0.0001182225,0.1478625,0.0006609394,0.0004721317,0.0005897724,0.0001782016,0.005504599,0.7922173,0.0009010005,0.0009666771,0.04964541],"study_design_scores_gemma":[0.00002024864,0.00046884,0.6763493,0.00007544673,0.0005567129,0.00147447,0.0005816901,0.07668804,0.2329415,0.001784695,0.009000715,0.00005830766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918733,0.001979637,0.003969686,0.0000563413,0.00001069565,0.00001767098,0.001309147,0.00005159524,0.0007318711],"genre_scores_gemma":[0.9905109,0.001690075,0.003997326,0.00003015297,0.00001003492,0.00002914944,0.003165675,0.00001033338,0.0005564428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177752,"threshold_uncertainty_score":0.002003491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007551570224390744,"score_gpt":0.2556468011491814,"score_spread":0.2480952309247907,"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."}}