{"id":"W4393163441","doi":"10.1038/s41598-024-57578-x","title":"Differential prognostic values of the three AKT isoforms in acute myeloid leukemia","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fondation Toulouse Cancer Santé; Région Occitanie Pyrénées-Méditerranée; Société Française d'Hématologie; Ministère de l'Enseignement Supérieur et de la Recherche; Fondation de France; Fondation ARC pour la Recherche sur le Cancer; Fondation pour la Recherche Médicale; Institut National de la Santé et de la Recherche Médicale; Genome Canada","keywords":"NPM1; AKT1; Myeloid leukemia; AKT3; Leukemia; Cancer research; Myeloid; Protein kinase B; Biology; RUNX1; PI3K/AKT/mTOR pathway; Carcinogenesis; Haematopoiesis; Stem cell; Genetics; Gene; Signal transduction; Karyotype","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000741051,0.0002025232,0.0001973319,0.0007627244,0.000182628,0.0004812658,0.0001443847,0.0003059119,0.0006835583],"category_scores_gemma":[0.001188954,0.00008285091,0.0001962807,0.0008023057,0.0003375008,0.0002864365,0.000268339,0.0003434593,0.0002194983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002038825,"about_ca_system_score_gemma":0.0001467955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002550881,"about_ca_topic_score_gemma":0.0005299192,"domain_scores_codex":[0.9997725,0.00007196002,0.00002696806,0.00002766121,0.00005230811,0.00004863151],"domain_scores_gemma":[0.999295,0.0001977147,0.0002419794,0.0000505423,0.00007719109,0.0001375618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002088324,0.00003294382,0.9632165,0.00002905167,0.0000651866,0.0002539795,0.00007245861,0.0003676342,0.0118502,0.0001671177,0.0001647778,0.02169176],"study_design_scores_gemma":[0.000023739,0.0001802232,0.9922969,0.00001194732,0.00008302834,0.001182963,0.0001301221,0.001244535,0.003569428,0.0005275385,0.0007375061,0.00001193156],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978035,0.001225593,0.0002328023,0.00006339056,0.000006934706,0.000002908428,0.000106827,0.000008493428,0.000549704],"genre_scores_gemma":[0.999379,0.0002442532,0.0001371394,0.000009516601,0.0000119876,0.000002023706,0.0001203536,0.000001875654,0.00009376949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007627244,"threshold_uncertainty_score":0.003919065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01753097244880304,"score_gpt":0.2894666919259679,"score_spread":0.2719357194771648,"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."}}