{"id":"W4240546182","doi":"10.1038/s41591-019-0369-7","title":"Publisher Correction: The molecular landscape of pediatric acute myeloid leukemia reveals recurrent structural alterations and age-specific mutational interactions","year":2019,"lang":"en","type":"erratum","venue":"Nature Medicine","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"National Institute of General Medical Sciences; National Cancer Institute","keywords":"Key (lock); Myeloid leukemia; Evolutionary biology; Cytogenetics; Matching (statistics); Computational biology; Biology; Genetics; Medicine; Cancer research; Pathology; Ecology; Gene; Chromosome","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001421473,0.0002797681,0.0003170128,0.000138443,0.0001519988,0.0000348231,0.0002506592,0.0005821161,0.00003666057],"category_scores_gemma":[0.0001236856,0.0001901259,0.00009956118,0.0002993965,0.0001723795,0.00001019501,0.0001117907,0.001304557,0.000001517045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004570708,"about_ca_system_score_gemma":0.0001484859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005634889,"about_ca_topic_score_gemma":0.00001879871,"domain_scores_codex":[0.998643,0.00005910711,0.0004101108,0.0004222358,0.0002906811,0.0001748367],"domain_scores_gemma":[0.9985631,0.00005146981,0.0003984619,0.0005440894,0.0003784666,0.00006437677],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002868256,0.00000893264,0.00003338566,0.00002968269,0.00008104635,0.00000367941,0.00004579694,0.00001385382,0.01158038,0.000428623,0.9862339,0.001512032],"study_design_scores_gemma":[0.0004486477,0.0002811902,0.001596832,0.0001283783,0.0002986196,0.0002172181,0.00009566332,0.0001692499,0.001143023,0.001137073,0.994158,0.0003261312],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.1577769,0.2947792,0.04775263,0.04228266,0.3208254,0.0103552,0.001699151,0.0005721757,0.1239566],"genre_scores_gemma":[0.5846333,0.02778032,0.01032065,0.003646289,0.02855936,0.0003055024,0.04386766,0.0002698296,0.3006171],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4268563,"threshold_uncertainty_score":0.7753108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007726840665188524,"score_gpt":0.2904527708565017,"score_spread":0.2827259301913131,"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."}}