{"id":"W4410940120","doi":"10.1186/s12894-025-01824-5","title":"CpG dinucleotide methylation of the SPDEF gene as a blood-based epigenetic biomarker for prostate cancer diagnosis","year":2025,"lang":"en","type":"article","venue":"BMC Urology","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; National Institute for Genetic Engineering and Biotechnology","keywords":"Medicine; Prostate cancer; Epigenetics; CpG site; DNA methylation; Biomarker; Methylation; Cancer research; Gene; Cancer; Oncology; Internal medicine; Genetics; Gene expression; Biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005905677,0.0002177679,0.0002732445,0.000669563,0.0001152652,0.0002861436,0.0001937591,0.0002299682,0.0009468117],"category_scores_gemma":[0.0007946278,0.00009618758,0.0001510742,0.0005038172,0.0001545182,0.0001245656,0.0002066458,0.0002921213,0.0001771308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001665958,"about_ca_system_score_gemma":0.0001655345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007011012,"about_ca_topic_score_gemma":0.001221037,"domain_scores_codex":[0.9997017,0.0001137572,0.00001832111,0.00006079987,0.00008309953,0.00002234172],"domain_scores_gemma":[0.9996228,0.0001241057,0.0001077986,0.00001965924,0.00007868105,0.00004691445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001218403,0.00009682635,0.8816133,0.0001363956,0.0001298242,0.00007864265,0.00007431946,0.0005776461,0.07608604,0.00007451199,0.0003024019,0.03961172],"study_design_scores_gemma":[0.00003809955,0.001001898,0.9611875,0.00003775561,0.0001762213,0.001208963,0.00009218602,0.006110833,0.02838163,0.0002235955,0.001524506,0.00001669239],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906881,0.003693985,0.004099647,0.00009535451,0.00001588128,0.00003674439,0.0005113112,0.00004044933,0.0008185976],"genre_scores_gemma":[0.9966015,0.0004457262,0.002460479,0.00003159654,0.00001233747,0.00001885942,0.00026905,0.000002545879,0.0001578454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009468117,"threshold_uncertainty_score":0.00316745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01522683369479753,"score_gpt":0.2924973097427231,"score_spread":0.2772704760479255,"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."}}