{"id":"W2162079601","doi":"10.1038/ng.3400","title":"The genomic landscape of juvenile myelomonocytic leukemia","year":2015,"lang":"en","type":"article","venue":"Nature Genetics","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":309,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hospital for Sick Children","funders":"National Cancer Institute","keywords":"Biology; Juvenile myelomonocytic leukemia; Juvenile; Chronic myelomonocytic leukemia; Genetics; Evolutionary biology; Leukemia; Computational biology; Immunology; Myelodysplastic syndromes","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":[0.0001742713,0.0001467752,0.0001880718,0.0007255148,0.0004132485,0.000805568,0.0002379126,0.0003863565,0.002280198],"category_scores_gemma":[0.001018541,0.0001029646,0.0001266833,0.0009256675,0.0005908774,0.0003952883,0.0004629144,0.0004862294,0.0001672238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004909774,"about_ca_system_score_gemma":0.0004290493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001907403,"about_ca_topic_score_gemma":0.002867647,"domain_scores_codex":[0.9997273,0.00006536168,0.00001250055,0.00006709187,0.00006327475,0.00006445859],"domain_scores_gemma":[0.9996132,0.0001407056,0.0001263287,0.00002100893,0.00002989151,0.00006889897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001174018,0.0001072646,0.5055963,0.0003783822,0.000279539,0.009060227,0.002196523,0.004570712,0.20023,0.04223702,0.009021665,0.2251483],"study_design_scores_gemma":[0.00006942775,0.0002187448,0.865494,0.0001894592,0.0003639412,0.01197226,0.002875842,0.002562289,0.009460651,0.05543089,0.05130893,0.00005363804],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739116,0.009043704,0.001468644,0.007322442,0.00005948561,0.00000866016,0.0009647192,0.00004644799,0.007174317],"genre_scores_gemma":[0.9956487,0.002547555,0.0003425004,0.0004671812,0.0000959266,0.000003009983,0.0002763067,0.00001415744,0.0006046506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002280198,"threshold_uncertainty_score":0.007628024,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02087007176139491,"score_gpt":0.3014621779574562,"score_spread":0.2805921061960612,"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."}}