{"id":"W2547126613","doi":"10.1038/nrurol.2016.193","title":"The translational potential of microRNAs as biofluid markers of urological tumours","year":2016,"lang":"en","type":"review","venue":"Nature Reviews Urology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":132,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"microRNA; Medicine; Prostate cancer; Bladder cancer; Microvesicles; Cancer; Liquid biopsy; Translation (biology); Bioinformatics; Kidney cancer; Cancer research; Pathology; Computational biology; Internal medicine; Gene; Biology; Messenger RNA; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0009872759,0.0008452974,0.001417342,0.001370197,0.0002198729,0.001303396,0.0006338835,0.001256533,0.001601882],"category_scores_gemma":[0.001199253,0.0002992447,0.0004317159,0.001227427,0.0008244236,0.001255454,0.0009797263,0.002070176,0.0008700871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005586316,"about_ca_system_score_gemma":0.0008763849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003997596,"about_ca_topic_score_gemma":0.0008795375,"domain_scores_codex":[0.9997236,0.00005219325,0.00003732623,0.00004995641,0.0001080994,0.00002887017],"domain_scores_gemma":[0.9994603,0.0003175266,0.00006967913,0.00001402037,0.00009739251,0.00004115882],"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":[0.0001323578,0.00005187988,0.000347646,0.007433201,0.00009264815,0.0002743807,0.00007186732,0.0004356497,0.01011939,0.006854879,0.01510513,0.9590809],"study_design_scores_gemma":[0.00004134403,0.0001740886,0.001408184,0.002079373,0.0002170375,0.001787823,0.0001048802,0.0004324514,0.005266753,0.007055927,0.9813803,0.00005187484],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002100801,0.9983645,0.0003294101,0.0003076493,0.000232893,0.0000027236,0.00001197922,0.000006957251,0.0005338771],"genre_scores_gemma":[0.002514449,0.9957805,0.0004506414,0.0003192029,0.0003862726,0.000007230447,0.00002895706,0.000003168503,0.0005095585],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001601882,"threshold_uncertainty_score":0.005358815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0108423716546807,"score_gpt":0.3007228806800804,"score_spread":0.2898805090253996,"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."}}