{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003270641,0.0002463629,0.0001839104,0.0008051985,0.0000848858,0.0001698961,0.00008922877,0.0001810562,0.0006179099],"category_scores_gemma":[0.001610615,0.0001235006,0.0001008803,0.0002644024,0.0001388858,0.00008618899,0.0001899339,0.0001656329,0.0001208106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009363038,"about_ca_system_score_gemma":0.0000513228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004124449,"about_ca_topic_score_gemma":0.0005535848,"domain_scores_codex":[0.9996679,0.000127465,0.00003617243,0.00007837178,0.00005985078,0.00003027587],"domain_scores_gemma":[0.9995944,0.0001994744,0.00009561711,0.00003161307,0.00004020027,0.00003885835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006438236,0.00004097072,0.8121533,0.00003922603,0.00007795844,0.0009373978,0.0002008611,0.000484892,0.1616731,0.00006756708,0.00009379777,0.02358709],"study_design_scores_gemma":[0.000009294688,0.0002404839,0.970964,0.000006267336,0.00004334615,0.005011572,0.00006905602,0.001508139,0.02169856,0.00007248765,0.0003666487,0.00001009906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985003,0.0002199139,0.0009327348,0.00001209034,0.000001601277,0.000003991054,0.00007491769,0.00001703162,0.0002374838],"genre_scores_gemma":[0.9988362,0.00007139898,0.0009078184,0.000008749566,0.00000215614,0.000004447897,0.00009822071,0.000004241602,0.00006679061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008051985,"threshold_uncertainty_score":0.002067149,"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."}}