{"id":"W4380358945","doi":"10.1093/neuonc/noad073.229","title":"LGG-20. LANDSCAPE OF FGFR ALTERATIONS IN PEDIATRIC AND AYA GLIOMAS","year":2023,"lang":"en","type":"article","venue":"Neuro-Oncology","topic":"Cancer, Hypoxia, and Metabolism","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Fibroblast growth factor receptor; Fibroblast growth factor receptor 1; Glioma; Cohort; Young adult; Oncology; Pediatric cancer; Internal medicine; Cancer; Fibroblast growth factor; Cancer research; Pediatrics; Receptor","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":[0.000274585,0.0001829797,0.0002516427,0.001340202,0.0003190366,0.0006069593,0.0002170824,0.0002522884,0.002037975],"category_scores_gemma":[0.000835503,0.000102498,0.0002562863,0.001439387,0.0002541823,0.0002852347,0.000501057,0.0002006955,0.0004881549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455721,"about_ca_system_score_gemma":0.000268647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003152008,"about_ca_topic_score_gemma":0.004941358,"domain_scores_codex":[0.9996943,0.0000374004,0.00002994113,0.00008813406,0.00007136333,0.00007880309],"domain_scores_gemma":[0.9994491,0.00006636629,0.0002515287,0.00002523457,0.00009686704,0.0001109535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002586328,0.00001337188,0.9818739,0.00003633283,0.00005392475,0.0007089303,0.0001368858,0.0001193435,0.00738717,0.0001011333,0.0003609651,0.00894948],"study_design_scores_gemma":[0.000002797169,0.00006058188,0.9952124,0.000008774558,0.00002703089,0.002492939,0.0002054809,0.0001308083,0.0004810401,0.00009434835,0.001280722,0.000002999605],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971431,0.0005559206,0.0001001683,0.00003276165,0.000001725095,0.000007691106,0.001318594,0.00001310729,0.0008268824],"genre_scores_gemma":[0.9968745,0.0003290669,0.0002163458,0.00002958886,0.000004837745,0.000009189694,0.002294691,0.00001241869,0.0002293116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003152008,"threshold_uncertainty_score":0.006817698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.012426141081313,"score_gpt":0.2752612076046285,"score_spread":0.2628350665233155,"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."}}