{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001687301,0.0001321583,0.0001504625,0.00007465122,0.00003835313,0.0000263605,0.0001016021,0.0001034912,0.00006241057],"category_scores_gemma":[0.0000142765,0.0001314976,0.0001226118,0.0003819366,0.0001706706,0.000009009786,0.00004593778,0.00006390393,0.000002225763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001167122,"about_ca_system_score_gemma":0.0002894421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002219088,"about_ca_topic_score_gemma":0.0000385345,"domain_scores_codex":[0.9990796,0.00004739506,0.0002045829,0.0003753311,0.0001281312,0.0001649782],"domain_scores_gemma":[0.9995144,0.00001218866,0.00007194268,0.0002478663,0.00005656133,0.0000970448],"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":[0.0001096337,0.000008301822,0.01511815,0.0001578821,0.000890251,0.000009945163,0.00007486043,0.01204694,0.9664457,0.00004330777,0.001012903,0.00408215],"study_design_scores_gemma":[0.001057963,0.0002087883,0.08186113,0.0003601412,0.002892853,0.00004188817,0.0004238677,0.08265125,0.8192368,0.0002344612,0.00999743,0.001033472],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9560166,0.04082311,0.00233907,0.0001175279,0.0001500704,0.0001957169,0.000228247,0.00001933432,0.0001103189],"genre_scores_gemma":[0.9979427,0.0006611698,0.0004742485,0.00001961968,0.00008889632,0.00002019309,0.00008073961,0.00002306523,0.0006893218],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1472089,"threshold_uncertainty_score":0.5362316,"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."}}