{"id":"W2741451749","doi":"10.1158/1538-7445.am2017-973","title":"Abstract 973: Methylation accurately predicts age of cancer onset in patients with Li Fraumeni Syndrome","year":2017,"lang":"en","type":"article","venue":"Cancer Research","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Hospital for Sick Children","funders":"","keywords":"Li–Fraumeni syndrome; Germline; Cancer; Germline mutation; Medicine; Age of onset; Family history; Oncology; Confounding; Internal medicine; Genetics; Biology; Mutation; Gene; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003836431,0.0004053875,0.0003465308,0.0006502003,0.0002257659,0.0004045056,0.0002619335,0.0003529223,0.00146716],"category_scores_gemma":[0.002552241,0.0001519613,0.0002096785,0.0005298114,0.0001273611,0.0001633823,0.0002146686,0.0004047299,0.0003389715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004641936,"about_ca_system_score_gemma":0.0003351159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01668621,"about_ca_topic_score_gemma":0.01739128,"domain_scores_codex":[0.9998513,0.00003041062,0.00001405192,0.00005453356,0.00002494225,0.0000247081],"domain_scores_gemma":[0.9990571,0.0003816237,0.0002371411,0.00006450137,0.000121419,0.0001382816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001577936,0.000006986266,0.9951733,0.000006332075,0.00001556436,0.00006209475,0.00003089383,0.0003887325,0.001481469,0.00001085456,0.0002767622,0.002389321],"study_design_scores_gemma":[0.0000103738,0.00006613736,0.990582,0.000007120098,0.00004879389,0.0003722093,0.00006474881,0.006607105,0.001690427,0.00005089813,0.0004933585,0.000006933955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972458,0.000188976,0.0005931638,0.00006489442,0.000005252927,0.000005048103,0.001541356,0.00003109745,0.0003244597],"genre_scores_gemma":[0.9984185,0.00004437791,0.0003138313,0.00001075,0.000005112976,0.000004376473,0.001044919,0.00000520195,0.0001529026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01668621,"threshold_uncertainty_score":0.03317815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08179535131614629,"score_gpt":0.4171393342909904,"score_spread":0.3353439829748441,"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."}}