{"id":"W4414524540","doi":"10.1038/s41568-025-00882-z","title":"Unlocking the potential of urine-based liquid biopsy through improved reporting and standardization","year":2025,"lang":"en","type":"review","venue":"Nature reviews. Cancer","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Standardization; Liquid biopsy; Profiling (computer programming); Urinary system; Urine; DNA","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":[0.008281939,0.001160145,0.002333671,0.002882843,0.0003234087,0.002396822,0.002699127,0.004062369,0.004296617],"category_scores_gemma":[0.006216162,0.000534713,0.001289271,0.002354065,0.002160075,0.00376567,0.002210215,0.007193264,0.002845168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002226717,"about_ca_system_score_gemma":0.003595558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002642164,"about_ca_topic_score_gemma":0.003793808,"domain_scores_codex":[0.9976059,0.000800312,0.0001627898,0.000292293,0.0009589152,0.0001797059],"domain_scores_gemma":[0.9920663,0.004951856,0.0004992922,0.0002827001,0.001779365,0.0004204077],"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":[0.000108705,0.00005544144,0.0002364059,0.00868005,0.0001178966,0.0001525325,0.00004692863,0.0004522917,0.001752976,0.01846213,0.06760865,0.9023261],"study_design_scores_gemma":[0.00002914048,0.00008807907,0.0006489693,0.003392922,0.00008051578,0.0006716314,0.00004902427,0.0002415371,0.0007646563,0.008794223,0.9852027,0.0000366756],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007099946,0.9931337,0.001150465,0.003827237,0.0009386918,0.000006245657,0.00004365649,0.00002948786,0.0007995245],"genre_scores_gemma":[0.001032898,0.9925994,0.00136464,0.002906761,0.001298608,0.00001729938,0.0001165766,0.00001119396,0.0006526638],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008281939,"threshold_uncertainty_score":0.04379958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708064641136581,"score_gpt":0.3555586780831046,"score_spread":0.3384780316717388,"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."}}