{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006253314,0.0001277865,0.0001791735,0.0004200061,0.000144755,0.0002258333,0.00007143475,0.0001353334,0.001099322],"category_scores_gemma":[0.0001093009,0.00007634452,0.0001073331,0.0002054397,0.0001440419,0.00006591938,0.0002001457,0.0001279338,0.0002242153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273047,"about_ca_system_score_gemma":0.00009414284,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005070447,"about_ca_topic_score_gemma":0.0005680217,"domain_scores_codex":[0.999952,0.000005823405,0.000005529106,0.00001169619,0.00001098831,0.00001408642],"domain_scores_gemma":[0.9999446,0.000007360085,0.0000124893,0.000009259345,0.000006079722,0.00002016943],"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":[0.0006621464,0.00003487062,0.01862316,0.0000190654,0.00001043572,0.0004219696,0.00008461678,0.000115182,0.9768077,0.0001609553,0.00008806207,0.002971731],"study_design_scores_gemma":[0.00006932778,0.001064081,0.5089948,0.00001113983,0.00006396155,0.00864471,0.0004102679,0.002274035,0.4714197,0.0005679445,0.006462696,0.00001725213],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988789,0.0001727004,0.0003131086,0.00001164361,0.000001049403,0.00001572159,0.0002253992,0.00001415215,0.0003673283],"genre_scores_gemma":[0.9986388,0.00009599144,0.0002521156,0.00001577936,0.00000279021,0.00001803258,0.0005290666,0.000004808143,0.0004425625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001099322,"threshold_uncertainty_score":0.003677607,"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."}}