{"id":"W4284665405","doi":"10.1182/bloodadvances.2021005828","title":"HMGA2 expression defines a subset of human AML with immature transcriptional signature and vulnerability to G2/M inhibition","year":2022,"lang":"en","type":"article","venue":"Blood Advances","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hôpital Maisonneuve-Rosemont; Université de Montréal; Institute for Research in Immunology and Cancer","funders":"Canada First Research Excellence Fund; Government of Canada; Institut de Valorisation des Données; Compute Canada; Canadian Cancer Society Research Institute; Canadian Institutes of Health Research; Genome Canada","keywords":"Vulnerability (computing); HMGA2; Biology; Signature (topology); Computational biology; Cell biology; Cancer research; Molecular biology; Genetics; microRNA; Gene; Computer security; Computer science; Mathematics","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":[0.0002398922,0.0001463362,0.0002761752,0.0001327391,0.0002413499,0.000009657982,0.00007973442,0.00005913602,0.000162933],"category_scores_gemma":[0.00004929978,0.0001092646,0.00004561979,0.000334322,0.0001200015,0.0001568947,0.00007390833,0.0004985863,7.424316e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005602283,"about_ca_system_score_gemma":0.00009688924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001898646,"about_ca_topic_score_gemma":0.00003573297,"domain_scores_codex":[0.9985597,0.0001013125,0.0002054187,0.0003557769,0.0005698133,0.0002079543],"domain_scores_gemma":[0.9994054,0.00006374652,0.00006911482,0.0002138441,0.0001226622,0.0001251875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001854919,0.0003789233,0.01222417,0.0002847958,0.00003302806,0.00005341081,0.0007139893,0.00009945773,0.9821791,0.0003559577,0.0008914209,0.0009307946],"study_design_scores_gemma":[0.01049805,0.005587041,0.1567652,0.0005451728,0.0002338954,0.0005391318,0.002640988,0.00003853281,0.8032252,0.001573959,0.01784918,0.0005036315],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943625,0.003041614,0.000087858,0.001392717,0.00003102463,0.0005687195,0.0001730522,0.00005320868,0.0002892517],"genre_scores_gemma":[0.9962618,0.0000483976,0.002752824,0.0002791546,0.00008596935,0.0001601793,0.0001844829,0.00001912503,0.0002080568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1789539,"threshold_uncertainty_score":0.4455682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01212126521623631,"score_gpt":0.2841051392563005,"score_spread":0.2719838740400642,"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."}}