{"id":"W2916983545","doi":"10.2147/rru.s165625","title":"&lt;p&gt;Circulating blood miRNAs for prostate cancer risk stratification: miRroring the underlying tumor biology with liquid biopsies&lt;/p&gt;","year":2019,"lang":"en","type":"review","venue":"Research and Reports in Urology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Hospital; University of Toronto; Sunnybrook Health Science Centre","funders":"University of Toronto; Prostate Cancer Canada; Terry Fox Foundation; OPKO Health; Government of Ontario; Movember Foundation","keywords":"Medicine; Prostate cancer; Biomarker; Risk stratification; Circulating tumor cell; Liquid biopsy; Disease; Prostate-specific antigen; Oncology; Internal medicine; Cancer; Intensive care medicine; Bioinformatics; Metastasis","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":[0.0009906773,0.0006483019,0.0009740462,0.001506108,0.0001983163,0.001112339,0.0006870784,0.001125808,0.00255701],"category_scores_gemma":[0.001756176,0.0002274028,0.0005635018,0.001279044,0.0007225709,0.001310584,0.0006241549,0.002080478,0.002076453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005998951,"about_ca_system_score_gemma":0.001140158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008343629,"about_ca_topic_score_gemma":0.001491645,"domain_scores_codex":[0.9996777,0.00007750558,0.00004179407,0.00005736669,0.000122193,0.00002345079],"domain_scores_gemma":[0.9992237,0.0004611538,0.00007470603,0.00002815125,0.0001691238,0.00004308909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004657909,0.00002576658,0.0002967103,0.005874895,0.00006807923,0.0001142004,0.00003615074,0.0002031017,0.001212565,0.004038854,0.02667232,0.9614108],"study_design_scores_gemma":[0.00001115934,0.00006324656,0.001265957,0.003108578,0.00009970323,0.001286779,0.00005841958,0.0002037275,0.001157073,0.003893076,0.9888273,0.00002484213],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001058888,0.9969394,0.0004541302,0.0009624421,0.0004361812,0.000004462078,0.00002105495,0.00001561453,0.001060775],"genre_scores_gemma":[0.001167164,0.9963042,0.0006882359,0.0005638057,0.0003464138,0.000009673538,0.00003708363,0.000005742,0.0008778414],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00255701,"threshold_uncertainty_score":0.008554041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08252658274274828,"score_gpt":0.3911522988353728,"score_spread":0.3086257160926246,"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."}}