{"id":"W2766464964","doi":"10.1101/196139","title":"Glioma Through the Looking GLASS: the Glioma Longitudinal Analysis consortium, molecular evolution of diffuse gliomas","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Medical Research Council; Winship Cancer Institute; National Cancer Institute; National Institutes of Health; KWF Kankerbestrijding; Else Kröner-Fresenius-Stiftung; Fundação de Amparo à Pesquisa do Estado de São Paulo; University of Sydney; National Brain Tumor Society; Austrian Science Fund; European Commission","keywords":"Glioma; Epigenomics; Disease; Phenotype; Somatic cell; Transcriptome; Population; Oncology; Internal medicine; Medicine; Biology; Pathology; Cancer research; Genetics; Gene; DNA methylation","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":[0.004613732,0.000343979,0.0002930975,0.001661624,0.0007976708,0.001474716,0.0006300801,0.0004562505,0.002002972],"category_scores_gemma":[0.005065463,0.0001906844,0.0004467647,0.002141354,0.0004329382,0.0005762351,0.002019881,0.0008084759,0.000582227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001676564,"about_ca_system_score_gemma":0.006436714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03804279,"about_ca_topic_score_gemma":0.06237314,"domain_scores_codex":[0.9990571,0.0003195427,0.00006544456,0.0001716424,0.0002392918,0.0001469821],"domain_scores_gemma":[0.9954544,0.0004069028,0.0008962156,0.0005838225,0.001201651,0.001457042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003665348,0.0002570821,0.5902029,0.0005513119,0.0009146371,0.0009924837,0.001353811,0.001399423,0.01606718,0.006569881,0.2455536,0.1324724],"study_design_scores_gemma":[0.0005120035,0.0004976867,0.7589455,0.0004075145,0.0005298997,0.001225644,0.001112983,0.001543247,0.00774167,0.004357916,0.2229896,0.0001363917],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6851297,0.01214458,0.01156623,0.04022874,0.0007407388,0.001141923,0.2292377,0.001647807,0.01816265],"genre_scores_gemma":[0.6344733,0.007514395,0.04045265,0.00579705,0.0008459566,0.002411188,0.2917176,0.0008458776,0.015942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03804279,"threshold_uncertainty_score":0.0756427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180011338303503,"score_gpt":0.2580618638598114,"score_spread":0.2400607300294611,"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."}}