{"id":"W2618663579","doi":"10.1093/neuonc/nox168.785","title":"PDTM-21. LARGE SCALE TUMOR MUTATIONAL BURDEN ANALYSIS OF PEDIATRIC TUMORS PROVIDES A DIAGNOSTIC TOOL FOR GERMLINE PREDISPOSITION AND REVEALS NOVEL CANDIDATES FOR IMMUNE CHECKPOINT INHIBITION","year":2017,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer therapeutics and mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"","keywords":"Somatic hypermutation; Germline; Germline mutation; Mutation; Exome sequencing; Cancer research; Genetics; Biology; DNA mismatch repair; Exome; Cancer; Brain tumor; Medicine; Gene; DNA repair; Pathology; Antibody","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":[0.0003417025,0.0001474699,0.0003467593,0.0001169132,0.0002120502,0.000033176,0.0001175558,0.0001222061,0.000006972616],"category_scores_gemma":[0.0005368619,0.0001475396,0.0001851051,0.00006902451,0.00007168876,0.00001232484,0.00009168177,0.00005573074,2.943932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003382575,"about_ca_system_score_gemma":0.0001560278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003488664,"about_ca_topic_score_gemma":0.0001382654,"domain_scores_codex":[0.9988721,0.0000312822,0.000394737,0.0003764408,0.00008850693,0.000236916],"domain_scores_gemma":[0.9987649,0.0002021881,0.0004883955,0.0002672927,0.0002204874,0.00005672892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005029089,0.0001563687,0.00126373,0.000100833,0.0001700548,0.000002679078,0.0001013338,0.00008964958,0.9962658,0.0001888031,0.00006214495,0.001095741],"study_design_scores_gemma":[0.00651121,0.003928014,0.03030324,0.00002978618,0.002496858,0.00004908956,0.0001089309,0.008503018,0.9399633,0.001227973,0.006466126,0.000412394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803261,0.0002928495,0.01619685,0.0005814557,0.0001581593,0.0009882933,0.001433257,0.000007356343,0.00001569879],"genre_scores_gemma":[0.9954711,0.0001768264,0.002034596,0.0002418693,0.000483118,0.0005465347,0.0009860776,0.00002323908,0.0000365991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05630239,"threshold_uncertainty_score":0.601649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198996462811885,"score_gpt":0.2901294253353224,"score_spread":0.2781394607072035,"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."}}