{"id":"W4243210036","doi":"10.1093/neuonc/nox083.123","title":"IMMU-13. 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":"CancerCare Manitoba; Princess Margaret Cancer Centre; Hospital for Sick Children","funders":"","keywords":"Somatic hypermutation; Germline; Germline mutation; Mutation; Exome sequencing; Cancer research; Cancer; DNA mismatch repair; Biology; Deep sequencing; Genetics; Medicine; Gene; DNA repair; Genome; 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":[0.000351206,0.000151246,0.0003562506,0.0001187238,0.0002190508,0.00003396585,0.0001227692,0.000123802,0.000006941254],"category_scores_gemma":[0.0005266565,0.0001513696,0.0001935335,0.00007109908,0.00007343967,0.00001284799,0.00009692202,0.00005758509,2.912226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003405182,"about_ca_system_score_gemma":0.0001592284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000475011,"about_ca_topic_score_gemma":0.0001605321,"domain_scores_codex":[0.9988486,0.00003195989,0.0004110966,0.0003783164,0.00008841843,0.0002416468],"domain_scores_gemma":[0.998732,0.0002002745,0.0005080567,0.0002780055,0.0002268897,0.00005472769],"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":[0.0005307688,0.0001577035,0.001306955,0.00009821866,0.0001834732,0.000002634794,0.000108188,0.00009890235,0.9961752,0.000154396,0.00005006454,0.001133534],"study_design_scores_gemma":[0.006551577,0.003767289,0.03708554,0.00002972446,0.002401652,0.00004869168,0.0001157069,0.008205936,0.9356648,0.001089991,0.004635085,0.0004040488],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9814288,0.000343814,0.01511984,0.0005191435,0.000164281,0.0009973656,0.001404107,0.000007344553,0.00001531241],"genre_scores_gemma":[0.9957599,0.0001961722,0.001724944,0.0002211085,0.0004622271,0.0005586824,0.001020293,0.00002399515,0.00003268756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0605104,"threshold_uncertainty_score":0.6172675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01156916159707395,"score_gpt":0.2890082230358321,"score_spread":0.2774390614387582,"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."}}