{"id":"W4388291578","doi":"10.21203/rs.3.rs-3470361/v1","title":"Genomic landscape of diffuse glioma revealed by whole genome sequencing","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Cancer Research","funders":"Medical Research Council; University College London; National Institute for Health and Care Research; Royal Marsden NHS Foundation Trust; Department of Health and Social Care; Cancer Research UK; Wellcome Trust","keywords":"Glioma; Genome; Computational biology; Biology; Whole genome sequencing; DNA sequencing; Genetics; Coding region; DNA; Gene","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":[0.0001551894,0.0002124271,0.0003420935,0.000629326,0.0001913253,0.0006862928,0.0001541538,0.0003509212,0.003070613],"category_scores_gemma":[0.00074597,0.0001800433,0.0003116347,0.0008852527,0.0002164776,0.0001728265,0.0004006197,0.0003753019,0.0004879388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001845717,"about_ca_system_score_gemma":0.0002306201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002222579,"about_ca_topic_score_gemma":0.002897555,"domain_scores_codex":[0.9998409,0.00001677716,0.000005568633,0.0000714969,0.00003376933,0.00003146183],"domain_scores_gemma":[0.9998049,0.00008370204,0.00003547369,0.00002506886,0.00002242953,0.00002838859],"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":[0.002719319,0.00008673139,0.2149342,0.000571875,0.001079442,0.003035553,0.0009363246,0.005816601,0.6067093,0.006555209,0.01067749,0.146878],"study_design_scores_gemma":[0.00006646245,0.0002301131,0.917343,0.00007310291,0.000717323,0.00420009,0.000597951,0.005948073,0.02561549,0.01261196,0.03254417,0.00005230053],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746339,0.002978913,0.005480041,0.001089307,0.00004191515,0.000009791722,0.01175411,0.0001893863,0.003822624],"genre_scores_gemma":[0.9861792,0.001788744,0.002985275,0.0002864231,0.00003508123,0.00001152379,0.006615806,0.0001159773,0.001982136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003070613,"threshold_uncertainty_score":0.01027226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08646313300826008,"score_gpt":0.3768675288411578,"score_spread":0.2904043958328977,"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."}}