{"id":"W4230029740","doi":"10.1186/s40478-016-0283-x","title":"Erratum: Spatial genomic heterogeneity in diffuse intrinsic pontine and midline high-grade glioma: implications for diagnostic biopsy and targeted therapeutics","year":2016,"lang":"en","type":"erratum","venue":"Acta Neuropathologica Communications","topic":"Glioma Diagnosis and Treatment","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"National Institute of Neurological Disorders and Stroke; Ontario Genomics; Genome Canada","keywords":"Acknowledgement; Genomics; Genome; Neurology; Medicine; Biology; Computational biology; Neuroscience; Genetics; Gene; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002327025,0.0005796563,0.0009204213,0.0004512925,0.000435173,0.00008545385,0.0006362238,0.0004829706,0.000005290008],"category_scores_gemma":[0.000808481,0.000438095,0.0001611153,0.0003388217,0.0005614816,0.00007514827,0.0008170082,0.0007282739,0.000005558934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001169291,"about_ca_system_score_gemma":0.0001222688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001075204,"about_ca_topic_score_gemma":0.000358443,"domain_scores_codex":[0.997409,0.0003842763,0.0007501201,0.0008295949,0.0001345385,0.0004923991],"domain_scores_gemma":[0.9945765,0.001876739,0.0004417977,0.00268683,0.0001975239,0.0002206584],"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":[0.0007044356,0.02553675,0.3238522,0.0007500541,0.001305743,0.0009643783,0.0007920351,9.555799e-7,0.5000755,0.003175665,0.09617416,0.04666815],"study_design_scores_gemma":[0.004797873,0.0006802386,0.9463173,0.0002087027,0.0008138863,0.0007609144,0.00001191927,0.0000433453,0.000225999,0.0009594684,0.04473118,0.0004492081],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341934,0.02065401,0.00006641344,0.03936403,0.0009646838,0.002819735,0.00158401,0.0001636065,0.0001901409],"genre_scores_gemma":[0.9334469,0.0598217,0.001991194,0.000652206,0.0002329363,0.001326991,0.002189756,0.0001033111,0.000235053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.622465,"threshold_uncertainty_score":0.9998071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04382475847550135,"score_gpt":0.3025980816587008,"score_spread":0.2587733231831995,"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."}}