{"id":"W2026878981","doi":"10.1002/pmic.201200561","title":"In‐depth proteomic analyses of exosomes isolated from expressed prostatic secretions in urine","year":2013,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":165,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research","keywords":"Microvesicles; Proteome; Exosome; Proteomics; Prostate cancer; Biomarker discovery; Urine; Context (archaeology); Biomarker; Shotgun proteomics; Biology; Prostate; Computational biology; Cancer; Bioinformatics; microRNA; Biochemistry; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009621036,0.0001644501,0.0002185876,0.000114074,0.00001869521,0.00002000061,0.0002365558,0.0001359786,0.00009329594],"category_scores_gemma":[0.000167208,0.000164025,0.0000685711,0.0001913603,0.00008875961,0.00001697959,0.0001215178,0.000127997,0.00001866314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002488179,"about_ca_system_score_gemma":0.0000953393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006317319,"about_ca_topic_score_gemma":0.00009060684,"domain_scores_codex":[0.9987975,0.00009930876,0.0004209257,0.0003440728,0.0001032993,0.0002349229],"domain_scores_gemma":[0.9992566,0.00001473706,0.0001510498,0.0004354153,0.00007009936,0.00007211577],"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":[0.00009747056,0.0002045836,0.01801567,0.00004846029,0.00002744631,0.00000535406,0.0001031878,0.0003026224,0.9809712,0.00001045832,0.00008046054,0.0001330583],"study_design_scores_gemma":[0.0009915127,0.00009834883,0.02818607,0.00005414367,0.00001281667,0.00000122202,0.00005826158,0.002591702,0.9654018,0.002383987,0.00003308333,0.0001870969],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995389,0.0004626931,0.002244465,0.0001397968,0.00002978987,0.001560835,0.00004823421,0.000009979271,0.0001151805],"genre_scores_gemma":[0.9861291,0.00007680032,0.01280108,0.00005615679,0.00004445095,0.0005548709,0.0001735522,0.00002857159,0.000135409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01556948,"threshold_uncertainty_score":0.6688745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599107155477169,"score_gpt":0.2834503943201278,"score_spread":0.2674593227653561,"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."}}