{"id":"W2052515804","doi":"10.4161/epi.25812","title":"Quantitative DNA methylation analysis improves epigenotype-phenotype correlations in Beckwith-Wiedemann syndrome","year":2013,"lang":"en","type":"article","venue":"Epigenetics","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Pediatric Oncology Group","funders":"","keywords":"Beckwith–Wiedemann syndrome; DNA methylation; Methylation; Biology; Epigenetics; Reproductive technology; Macroglossia; Genetics; Internal medicine; Endocrinology; Pathology; Pregnancy; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002561637,0.0002404272,0.0003159327,0.0002666663,0.0001121026,0.00006074851,0.0002371436,0.0002172736,0.0001771111],"category_scores_gemma":[0.000197409,0.0002444667,0.0001732457,0.0007244955,0.0000807584,0.00001061586,0.0001807009,0.0001296716,0.0001705795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002777475,"about_ca_system_score_gemma":0.00006997615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003438382,"about_ca_topic_score_gemma":0.0004420677,"domain_scores_codex":[0.9982589,0.0001184046,0.0005070285,0.00051118,0.0001920536,0.0004124708],"domain_scores_gemma":[0.9989597,0.00005180074,0.0001875667,0.0005029921,0.0001796843,0.0001182298],"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":[0.00001827773,0.0002545821,0.1855186,0.00004281482,0.001149077,0.000005725437,0.000880412,0.02034447,0.7716556,0.0007702837,0.0002885981,0.01907154],"study_design_scores_gemma":[0.0003490846,0.0004687988,0.9775531,0.00001071917,0.0002115031,0.000006460591,0.0003869944,0.006982156,0.01171383,0.001222394,0.0006943294,0.0004005808],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9761693,0.001438078,0.0201652,0.0001584012,0.0001918886,0.0004330908,0.0000107222,0.00001746265,0.00141581],"genre_scores_gemma":[0.9850607,0.0001833002,0.01339848,0.00009033124,0.00004899276,0.00006224941,0.0001760834,0.00003626117,0.0009435886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7920345,"threshold_uncertainty_score":0.9969065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01329609442582594,"score_gpt":0.2591895653496462,"score_spread":0.2458934709238203,"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."}}