{"id":"W4210639191","doi":"10.3389/fonc.2021.814228","title":"Investigating Urinary Circular RNA Biomarkers for Improved Detection of Renal Cell Carcinoma","year":2022,"lang":"en","type":"article","venue":"Frontiers in Oncology","topic":"Circular RNAs in diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; York Central Hospital; SickKids Foundation; University of Toronto; University Health Network; Princess Margaret Cancer Centre; Sinai Health System; Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Urological Association Scholarship Fund; Cancer Research Society","keywords":"Renal cell carcinoma; Urinary system; Clear cell renal cell carcinoma; Medicine; Biomarker; Liquid biopsy; Circular RNA; Carcinogenesis; Urine; Pathology; Diagnostic biomarker; Oncology; Internal medicine; Biology; RNA; Cancer; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003489698,0.0001285084,0.0002247803,0.0001507452,0.0001200618,0.000003825573,0.0002602028,0.0001362396,0.000007833506],"category_scores_gemma":[0.0001729213,0.0001621146,0.0001476502,0.0001707522,0.0001485929,0.000003543677,0.0002172777,0.0001299853,1.646125e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002142779,"about_ca_system_score_gemma":0.00028696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003590347,"about_ca_topic_score_gemma":0.000008640471,"domain_scores_codex":[0.9987591,0.0002111823,0.0003016921,0.0003757718,0.00008771183,0.0002645441],"domain_scores_gemma":[0.9993649,0.0000235296,0.0002045664,0.000291287,0.00004638742,0.00006935231],"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":[0.0002654905,0.000202665,0.01016586,0.00006007402,0.00005825103,0.000006466323,0.0000642708,0.0003431667,0.9755983,0.000003256096,0.004379915,0.008852307],"study_design_scores_gemma":[0.003692587,0.003690821,0.007245948,0.000006348591,0.00009568552,0.00005915445,0.001351933,0.005118466,0.9075078,0.000846318,0.06999653,0.0003883529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789318,0.003170609,0.01568387,0.00007156643,0.001019301,0.0005145739,0.00007487556,0.000009670272,0.0005237513],"genre_scores_gemma":[0.9925982,0.00001995775,0.006586245,0.0001760721,0.0001026086,0.0002850339,0.000148994,0.00002899437,0.000053901],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06809042,"threshold_uncertainty_score":0.6610843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009509538527084783,"score_gpt":0.2436251819460603,"score_spread":0.2341156434189755,"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."}}