{"id":"W2901970540","doi":"10.1093/annonc/mdy506","title":"Evolutionary dynamics of residual disease in human glioblastoma","year":2018,"lang":"en","type":"article","venue":"Annals of Oncology","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Cancer Research","funders":"Medical Research Council; Brain Tumour Charity; National Institute for Health and Care Research; University of Cambridge; Cancer Research UK; Wellcome Trust; National Institute on Handicapped Research","keywords":"Medicine; Glioblastoma; Residual; Minimal residual disease; Dynamics (music); Oncology; Cancer research; Internal medicine","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":[0.00031994,0.0001657417,0.000334555,0.001090326,0.0004076961,0.0004440691,0.0001878008,0.0003005433,0.001130522],"category_scores_gemma":[0.001077824,0.0001287767,0.0002612927,0.0009811013,0.0004380491,0.0002758164,0.0005633131,0.0002550879,0.0002159951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004349746,"about_ca_system_score_gemma":0.000207586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001471478,"about_ca_topic_score_gemma":0.003322245,"domain_scores_codex":[0.9998235,0.00003210773,0.000008342496,0.0000640776,0.00003513769,0.00003682739],"domain_scores_gemma":[0.9996607,0.0001204674,0.0001021371,0.00003089859,0.00004830199,0.00003752712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001287348,0.00008201101,0.5557581,0.0005402856,0.0006063122,0.00172928,0.003545374,0.01737776,0.3239546,0.005424786,0.001770501,0.08792358],"study_design_scores_gemma":[0.00001487074,0.0002105346,0.9632729,0.00004910306,0.0001060002,0.001893765,0.000869531,0.01300484,0.005203471,0.006250532,0.009083998,0.00004052287],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958597,0.0007630999,0.001654772,0.00008390922,0.000003267718,0.000007780954,0.0006973163,0.00001957972,0.000910541],"genre_scores_gemma":[0.9958959,0.0004999771,0.00156153,0.00006573422,0.000005773239,0.00002065202,0.001563253,0.00002649709,0.0003607303],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001471478,"threshold_uncertainty_score":0.003781974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04496481680490641,"score_gpt":0.3829355003263072,"score_spread":0.3379706835214008,"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."}}