{"id":"W4376133026","doi":"10.1111/ejh.13979","title":"Impact of secondary‐type mutations in <scp><i>NPM1</i></scp> mutated <scp>AML</scp>","year":2023,"lang":"en","type":"letter","venue":"European Journal Of Haematology","topic":"Acute Myeloid Leukemia Research","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Computer science; Computational biology; Genetics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00236509,0.0007389092,0.002816652,0.003177901,0.00009355076,0.00005561368,0.001119099,0.0006626135,0.0002290084],"category_scores_gemma":[0.008743381,0.0006088053,0.0009103638,0.001714392,0.0006501905,0.0002010265,0.0003367451,0.00863105,0.001253339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798955,"about_ca_system_score_gemma":0.003174987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006048144,"about_ca_topic_score_gemma":0.00001328687,"domain_scores_codex":[0.9916385,0.00264621,0.002670472,0.0006191049,0.001064132,0.001361585],"domain_scores_gemma":[0.9911566,0.003952786,0.002144987,0.0008549035,0.001444895,0.0004458104],"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":[0.00004766784,0.0001141098,0.002226756,0.0005446995,0.001139846,0.2108676,0.001352188,0.00008064756,0.001291632,0.000007671505,0.7819492,0.0003779745],"study_design_scores_gemma":[0.01727792,0.009335136,0.07155904,0.003309321,0.001551276,0.2224802,0.002556715,0.0003107763,0.002395809,0.0004491733,0.6683876,0.000387009],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.930307,0.00173715,0.0001311052,0.04755904,0.00139453,0.0007656961,0.0001766353,0.000115999,0.01781285],"genre_scores_gemma":[0.7561285,0.004086921,0.005006167,0.1697659,0.01291389,0.00003628522,0.003495474,0.003199189,0.04536759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1741784,"threshold_uncertainty_score":0.9996364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03335979481836179,"score_gpt":0.3206159618144294,"score_spread":0.2872561669960677,"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."}}