{"id":"W4414517593","doi":"10.1016/j.euo.2025.08.004","title":"MicroRNA as a Liquid Biomarker to Detect Malignancy in Small Testicular Masses","year":2025,"lang":"en","type":"article","venue":"European Urology Oncology","topic":"Testicular diseases and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Sinai Hospital; St. Michael's Hospital; University Health Network; University of British Columbia; Princess Margaret Cancer Centre","funders":"University of Toronto; Fundação para a Ciência e a Tecnologia; Princess Margaret Cancer Foundation","keywords":"Malignancy; microRNA; Biomarker; Diagnostic biomarker; Testicular cancer","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":[0.001325484,0.0006856138,0.0009705446,0.001889996,0.0005035026,0.002246334,0.0004410093,0.001308289,0.001752703],"category_scores_gemma":[0.002654388,0.0004377986,0.0005362963,0.00119562,0.0006610287,0.0009339889,0.0005757098,0.001099651,0.000945375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005314309,"about_ca_system_score_gemma":0.0006601139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000526782,"about_ca_topic_score_gemma":0.0009164311,"domain_scores_codex":[0.9989462,0.0003473604,0.00007168727,0.0001817252,0.0003642084,0.00008889709],"domain_scores_gemma":[0.9991393,0.0003652248,0.0001687884,0.0000382172,0.0001941509,0.00009425673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005449755,0.0007534646,0.2605806,0.001399489,0.0008271309,0.002724623,0.0005389825,0.002471166,0.4245641,0.002752253,0.01012239,0.287816],"study_design_scores_gemma":[0.000592387,0.008373543,0.1858003,0.0008410176,0.002342655,0.01513037,0.001192434,0.07539454,0.631641,0.005991016,0.07237145,0.0003293557],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8675664,0.0666002,0.03942338,0.004142503,0.0020102,0.0003864168,0.002363023,0.001881978,0.01562588],"genre_scores_gemma":[0.9532082,0.006729728,0.02982879,0.002216187,0.0007399747,0.0003261409,0.001331665,0.0001726307,0.005446714],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002246334,"threshold_uncertainty_score":0.007009923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01882934850864703,"score_gpt":0.3074765358319598,"score_spread":0.2886471873233127,"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."}}