{"id":"W2586150132","doi":"10.1093/neuonc/now212.343","title":"GENT-37. THE GENETICS DRIVING RADIATION INDUCED MENINGIOMAS","year":2016,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre","funders":"","keywords":"Meningioma; Biology; Exome; Exome sequencing; Carcinogenesis; Meninges; Transcriptome; Cancer research; Cancer; Genetics; Computational biology; Bioinformatics; Gene; Medicine; Mutation; Pathology; Neuroscience; 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":[0.0001156664,0.0003614947,0.0003040956,0.0007660153,0.0004201631,0.000423103,0.0002293193,0.0003518058,0.007536569],"category_scores_gemma":[0.0004255569,0.0001817226,0.0004502467,0.0006885887,0.0002622046,0.0001411658,0.0003885864,0.0003895071,0.002179318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006518178,"about_ca_system_score_gemma":0.000633429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006691114,"about_ca_topic_score_gemma":0.009634826,"domain_scores_codex":[0.9998171,0.0000202942,0.00001365318,0.00004592708,0.00006459744,0.00003845986],"domain_scores_gemma":[0.9998235,0.00002875759,0.00005017933,0.00002805806,0.00002295271,0.00004654331],"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":[0.0006276947,0.00009562028,0.1014185,0.0002824459,0.0001596223,0.005887226,0.0004404367,0.0006077433,0.8376067,0.002827466,0.002950948,0.04709554],"study_design_scores_gemma":[0.00003604907,0.0003751738,0.6734976,0.0001265921,0.0003046443,0.03279771,0.0004121417,0.001027109,0.2001066,0.003011051,0.08823474,0.00007060239],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629983,0.004786142,0.004012257,0.000535897,0.0001046197,0.000108098,0.01099764,0.0005308348,0.01592615],"genre_scores_gemma":[0.9774078,0.002346165,0.00444966,0.0002498963,0.00002868261,0.00005264398,0.004934999,0.0002537449,0.01027648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007536569,"threshold_uncertainty_score":0.02521229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0160055602971621,"score_gpt":0.3026621306921911,"score_spread":0.286656570395029,"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."}}