{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003333033,0.0003485062,0.0004497403,0.0007495829,0.0002636239,0.0004616701,0.0002558925,0.0003299306,0.003018209],"category_scores_gemma":[0.0006977667,0.0002612728,0.0002944578,0.0006375102,0.0001580741,0.0001698344,0.0004670497,0.0003728093,0.0009647814],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004932964,"about_ca_system_score_gemma":0.0003399725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009160413,"about_ca_topic_score_gemma":0.002733346,"domain_scores_codex":[0.9997955,0.00002610623,0.00001215553,0.00007588588,0.00006708462,0.00002326566],"domain_scores_gemma":[0.9997737,0.00005366212,0.00007292468,0.00003119451,0.00003083996,0.00003762073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001381367,0.00009252201,0.3715449,0.0004599302,0.0002747843,0.00116563,0.0002243614,0.006252453,0.4223148,0.001143808,0.010837,0.1843085],"study_design_scores_gemma":[0.0001477379,0.0008376017,0.6968017,0.00006482621,0.0002012758,0.005886153,0.00008896102,0.03261129,0.2075082,0.001627507,0.05417931,0.00004540691],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.933687,0.002041543,0.02164654,0.0003218974,0.00004000485,0.0002477179,0.03261493,0.002168912,0.007231595],"genre_scores_gemma":[0.9190567,0.0008381342,0.0424499,0.0001602889,0.00001948483,0.0004175697,0.03259844,0.0003003236,0.004159073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003018209,"threshold_uncertainty_score":0.01009691,"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."}}