{"id":"W2187898585","doi":"10.1038/ncomms10013","title":"MLLT1 YEATS domain mutations in clinically distinctive Favourable Histology Wilms tumours","year":2015,"lang":"en","type":"article","venue":"Nature Communications","topic":"Renal and related cancers","field":"Biochemistry, Genetics and Molecular Biology","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"BC Cancer Agency; IDP Foundation; King Abdullah University of Science and Technology; Children’s Oncology Group; Canada's Michael Smith Genome Sciences Centre; National Cancer Institute; National Institutes of Health; U.S. Department of Health and Human Services","keywords":"Wilms' tumor; Mutant; Hox gene; Mutation; Biology; Wilms tumour; Histone; Gene; Cancer research; Kidney development; Genetics; Pathology; Gene expression; Medicine; Embryonic stem cell","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002645795,0.0001079489,0.0001413468,0.0000594223,0.0001083866,0.00001144504,0.0006301707,0.0004387174,0.000005989069],"category_scores_gemma":[0.0003451254,0.00009762395,0.00006692462,0.0002126489,0.0002726382,0.000005460496,0.0002012742,0.0007151021,0.00002252122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007817154,"about_ca_system_score_gemma":0.0002481674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005283693,"about_ca_topic_score_gemma":0.0006903611,"domain_scores_codex":[0.9990537,0.0002016291,0.0002615561,0.0002159244,0.00009235882,0.0001748657],"domain_scores_gemma":[0.9986872,0.00006497497,0.0001063305,0.0008762588,0.0001597069,0.0001055342],"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":[0.002321903,0.004512708,0.3338923,0.00007451692,0.001182622,0.0001462406,0.007595837,0.007511747,0.1519487,0.09783474,0.3743361,0.01864257],"study_design_scores_gemma":[0.005615633,0.001011,0.05953504,0.0001246175,0.0001526235,0.0002207914,0.003262155,0.0006462138,0.004602687,0.02054476,0.9030956,0.001188892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8351278,0.03896012,0.0008178583,0.01706355,0.0009021895,0.0006367826,0.00009281249,0.0000693042,0.1063296],"genre_scores_gemma":[0.9934731,0.0005156362,0.00416628,0.0005913507,0.00005571196,0.00005474364,0.0004583572,0.00001452719,0.0006702991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5287595,"threshold_uncertainty_score":0.3980989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0192797465195592,"score_gpt":0.3208865380305441,"score_spread":0.3016067915109849,"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."}}