{"id":"W2971806486","doi":"10.1002/pros.23901","title":"Plasma extracellular vesicles as phenotypic biomarkers in prostate cancer patients","year":2019,"lang":"en","type":"article","venue":"The Prostate","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Fonds de Recherche du Québec - Santé","keywords":"Prostate cancer; Microvesicles; Exosome; Extracellular vesicle; Prostate; Glutamate carboxypeptidase II; Prostate-specific antigen; Messenger RNA; Androgen deprivation therapy; Cancer research; Medicine; Internal medicine; Biology; Chemistry; Endocrinology; Cancer; microRNA; Gene; Biochemistry","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":[0.0003426513,0.0002400148,0.000326725,0.0006820903,0.0002735774,0.0007967653,0.0001715478,0.0003991539,0.0008813109],"category_scores_gemma":[0.001031491,0.0001048305,0.000226205,0.0006503332,0.0001499163,0.0002974249,0.000456307,0.0003572374,0.0001930449],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002043243,"about_ca_system_score_gemma":0.0001905652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003376714,"about_ca_topic_score_gemma":0.0002353177,"domain_scores_codex":[0.9996911,0.00009583058,0.00002884296,0.00006240306,0.00007545682,0.00004638207],"domain_scores_gemma":[0.9994994,0.0001206419,0.000202541,0.00002071881,0.00009402572,0.0000626323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001341275,0.00008288827,0.9578125,0.000178258,0.0001332345,0.0006506558,0.0002381217,0.0003938263,0.01394622,0.0001691075,0.0003746507,0.02467942],"study_design_scores_gemma":[0.00003391302,0.0007612801,0.9829751,0.00004876512,0.0001817146,0.003866512,0.0003955509,0.001611029,0.007231249,0.0003043107,0.002569479,0.00002106872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949872,0.003384963,0.0004809544,0.00004965784,0.00001394977,0.00002368287,0.0002637226,0.00001571832,0.0007800561],"genre_scores_gemma":[0.9991512,0.0002814771,0.0002163499,0.00002182479,0.00001304217,0.00001028169,0.0001931134,0.00000208344,0.0001106715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008813109,"threshold_uncertainty_score":0.002948284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004805977538771614,"score_gpt":0.2289074047021382,"score_spread":0.2241014271633665,"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."}}