{"id":"W2948082370","doi":"10.1093/jnci/djz112","title":"Temporal Stability and Prognostic Biomarker Potential of the Prostate Cancer Urine miRNA Transcriptome","year":2019,"lang":"en","type":"article","venue":"JNCI Journal of the National Cancer Institute","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Sunnybrook Health Science Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute; Ontario Institute for Cancer Research","funders":"National Cancer Institute; Canadian Institutes of Health Research; Ontario Institute for Cancer Research; Movember Foundation","keywords":"Biomarker; Prostate cancer; Receiver operating characteristic; Cohort; Confidence interval; Medicine; Oncology; Biomarker discovery; Cancer; Urine; Prostate; Internal medicine; microRNA; Bioinformatics; Biology; Proteomics","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":[0.001048118,0.0001510854,0.0002657246,0.0006133386,0.0002325506,0.0007082064,0.0001913813,0.0002648419,0.000525645],"category_scores_gemma":[0.002856673,0.0001784215,0.0001962028,0.0005099198,0.0003257357,0.0002934061,0.0003039597,0.0003572338,0.0001714098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000301226,"about_ca_system_score_gemma":0.0002682687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006973802,"about_ca_topic_score_gemma":0.0006229607,"domain_scores_codex":[0.9995926,0.00009695572,0.00003021101,0.0001352154,0.0001042196,0.00004067186],"domain_scores_gemma":[0.9985797,0.0004916053,0.0004237476,0.0001248589,0.0003073326,0.00007268708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001356603,0.00009494285,0.582229,0.0001269141,0.0002663043,0.0001753686,0.0004425988,0.003260245,0.3575699,0.0005495096,0.0003818407,0.05354672],"study_design_scores_gemma":[0.00001805223,0.0005255809,0.8773311,0.00002599234,0.0002282722,0.0009862587,0.0002427735,0.01185949,0.1055778,0.0008152049,0.002349269,0.0000401264],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910151,0.001322398,0.006584767,0.00008728103,0.000009829881,0.00001255417,0.000442938,0.00003595093,0.0004891929],"genre_scores_gemma":[0.9976648,0.0001692357,0.001717477,0.0000244789,0.000008873831,0.00001376906,0.0002626667,0.000009740719,0.0001289494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001048118,"threshold_uncertainty_score":0.005543053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01922731340041984,"score_gpt":0.2816174669363181,"score_spread":0.2623901535358983,"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."}}