{"id":"W4393867457","doi":"10.20944/preprints202404.0041.v1","title":"tRNA-Derived Fragments as Biomarkers in Bladder Cancer","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"RNA modifications and cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University Health Network","funders":"","keywords":"Bladder cancer; Cancer; Transfer RNA; Computational biology; Biology; Medicine; Internal medicine; Genetics; RNA; Gene","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":[0.0002565153,0.0002942563,0.0003293297,0.001022096,0.0003378773,0.0005573672,0.0001410483,0.0004220852,0.000696093],"category_scores_gemma":[0.00101024,0.0001215123,0.000313142,0.0008788095,0.0001804668,0.000187501,0.0002971763,0.0003124606,0.000297123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002318128,"about_ca_system_score_gemma":0.0002404536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008780947,"about_ca_topic_score_gemma":0.001102872,"domain_scores_codex":[0.9997854,0.00006236539,0.00002172149,0.00005218328,0.00005210476,0.00002630334],"domain_scores_gemma":[0.9996189,0.000131583,0.0001288209,0.00002182776,0.00005490182,0.00004387503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001531672,0.0001089679,0.1321816,0.000594303,0.0001888848,0.0007944125,0.0003662257,0.00177209,0.8083782,0.0002358774,0.0004487429,0.05339907],"study_design_scores_gemma":[0.00007188095,0.001849284,0.4265997,0.0002631947,0.00042601,0.004510813,0.0007376302,0.01161335,0.5362443,0.0009500406,0.01664088,0.00009301989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849284,0.009079129,0.003089354,0.0001377694,0.00005201217,0.00002561715,0.00157326,0.0001019873,0.001012493],"genre_scores_gemma":[0.9894169,0.001412132,0.006870337,0.00009148043,0.00001822618,0.00002162543,0.001574711,0.00002139919,0.0005731175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001022096,"threshold_uncertainty_score":0.002328634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07112697512922246,"score_gpt":0.3687142893607996,"score_spread":0.2975873142315772,"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."}}