{"id":"W1829668511","doi":"10.1111/bjh.13631","title":"<scp>RNA</scp> editing in acute myeloid leukaemia with normal karyotype","year":2015,"lang":"en","type":"letter","venue":"British Journal of Haematology","topic":"RNA regulation and disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministère de l'Education Nationale, de l'Enseignement Superieur et de la Recherche","keywords":"NPM1; RNA editing; RNA; Karyotype; Myeloid leukemia; Biology; Sanger sequencing; Intron; Mutation; Medicine; Molecular biology; Cancer research; Genetics; Gene; Chromosome","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003342757,0.0002929317,0.0007412304,0.0002086221,0.00005919161,0.00007873583,0.0004391614,0.000928818,0.00002833283],"category_scores_gemma":[0.0003567333,0.000307521,0.0002012694,0.0001301643,0.0001909811,0.00001972012,0.000110607,0.001200752,0.00001480755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004567103,"about_ca_system_score_gemma":0.000688832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003329667,"about_ca_topic_score_gemma":0.0001015856,"domain_scores_codex":[0.9977902,0.0002256254,0.0007369317,0.0003402887,0.0003983632,0.0005085918],"domain_scores_gemma":[0.9981872,0.00004497616,0.0008258451,0.0002415426,0.000500142,0.0002002589],"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":[0.0000592731,0.00003783867,0.002253797,0.00007280349,0.0001942245,0.08003319,0.000019509,0.00004818113,0.0004384492,0.000004524335,0.9161199,0.0007183021],"study_design_scores_gemma":[0.002639965,0.0004878022,0.002061074,0.0004181997,0.0001945175,0.2572286,0.00009003295,0.00001344552,0.001090926,0.0001390465,0.7354051,0.0002312803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.960722,0.009153839,0.0003300349,0.02395163,0.001119286,0.0002377936,0.000100695,0.00001480339,0.004369926],"genre_scores_gemma":[0.4984802,0.003777323,0.005589692,0.4458732,0.02587829,0.00006276986,0.003199193,0.0005546863,0.0165847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4622418,"threshold_uncertainty_score":0.9999377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008262122444222825,"score_gpt":0.2297694973531748,"score_spread":0.221507374908952,"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."}}