{"id":"W4282943485","doi":"10.1158/1538-7445.am2022-2505","title":"Abstract 2505: Predicting prognosis in PFA ependymoma and group 3/4 medulloblastoma methylomes using interpretable epigenetic models","year":2022,"lang":"en","type":"article","venue":"Cancer Research","topic":"Ferroptosis and cancer prognosis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research; University of Waterloo","funders":"","keywords":"Computational biology; Epigenetics; CpG site; DNA methylation; Biology; Methylation; Oncology; Bioinformatics; Artificial intelligence; Computer science; Genetics; Gene; Medicine; Gene expression","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":[0.0007343325,0.0008197719,0.0003363512,0.0006385947,0.0002059275,0.0003904395,0.0004172788,0.0004650847,0.002327658],"category_scores_gemma":[0.001711657,0.0001487806,0.000501418,0.0002975792,0.0001426644,0.0002712195,0.0004113547,0.0004711616,0.0004444261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007677433,"about_ca_system_score_gemma":0.0004645794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01077154,"about_ca_topic_score_gemma":0.008926284,"domain_scores_codex":[0.9998635,0.00003867852,0.000007427905,0.00004857818,0.00002485076,0.00001704196],"domain_scores_gemma":[0.999543,0.0002725515,0.00005188864,0.00003029875,0.00006297709,0.000039366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001828482,0.0003354097,0.3346317,0.000101819,0.0003123853,0.0002056042,0.00008410727,0.564394,0.01252834,0.0004199859,0.002722403,0.08243591],"study_design_scores_gemma":[0.00004360087,0.0001868907,0.04209695,0.000009087994,0.00003743797,0.00005328113,0.00002025472,0.9520619,0.004553753,0.0006536492,0.0002716199,0.00001154252],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728848,0.0001024356,0.02262765,0.0001711809,0.00001101735,0.00005514698,0.003250189,0.0003306756,0.0005669445],"genre_scores_gemma":[0.9869199,0.00002640629,0.008942484,0.0000237226,0.00000803008,0.00004254537,0.003287422,0.00001834981,0.0007310617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077154,"threshold_uncertainty_score":0.02141768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212131163167868,"score_gpt":0.4038936476500564,"score_spread":0.2826805313332696,"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."}}