{"id":"W3033204265","doi":"10.1093/neuonc/noaa130","title":"European genetic ancestry associated with risk of childhood ependymoma","year":2020,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"National Cancer Institute; Centers for Disease Control and Prevention; University of Southern California; Cancer Registry of Greater California; National Institutes of Health; National Center for Chronic Disease Prevention and Health Promotion; Novocure; Pediatric Brain Tumor Foundation; California Department of Public Health; Musella Foundation For Brain Tumor Research and Information; Cancer Prevention and Research Institute of Texas; Sontag Foundation; American Brain Tumor Association; Alex's Lemonade Stand Foundation for Childhood Cancer","keywords":"Ependymoma; Incidence (geometry); Demography; Population; Odds ratio; Genetic genealogy; Ethnic group; Medicine; Odds; Pathology; Logistic regression; Internal medicine","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":[0.00007599319,0.0001501171,0.0004189558,0.00004217725,0.00004216085,0.000004748953,0.00009212071,0.00007093738,0.0001020886],"category_scores_gemma":[0.0003762124,0.0001117263,0.0000821181,0.0002203443,0.00008174733,0.00001963614,0.00004841654,0.0002345376,0.00006145824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004736628,"about_ca_system_score_gemma":0.0001293511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230172,"about_ca_topic_score_gemma":0.00001506457,"domain_scores_codex":[0.9987658,0.0002883368,0.0002542943,0.000304947,0.0001723774,0.0002142591],"domain_scores_gemma":[0.9990475,0.0002280403,0.0002497537,0.0001988375,0.00006905205,0.0002068599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003532701,0.003083466,0.877099,0.00003631891,0.0007031276,0.01092241,0.001194005,0.0001465347,0.05512344,0.00002968112,0.00392532,0.04738344],"study_design_scores_gemma":[0.006133625,0.007457385,0.96316,0.00003532497,0.0005824309,0.0002489924,0.00006457577,0.00007855585,0.01473438,0.000009305496,0.007391189,0.0001042214],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884244,0.0002601772,0.000009686827,0.002932288,0.00007886521,0.0003192469,0.00003071696,0.00006442658,0.007880239],"genre_scores_gemma":[0.9971868,0.0001119254,0.0003168434,0.002183244,0.0001277133,0.00001391174,0.00002059687,0.00003565606,0.000003357962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08606102,"threshold_uncertainty_score":0.4556066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02370578433672586,"score_gpt":0.264756726549732,"score_spread":0.2410509422130062,"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."}}