{"id":"W4417441826","doi":"10.26685/urncst.890","title":"Single-Cell Sequencing and Multi-Omic Technologies in Acute Myeloid Leukemia: A Literature Review","year":2025,"lang":"","type":"review","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Epigenomics; Myeloid leukemia; Transcriptome; Myeloid; Proteomics; Haematopoiesis; Disease; Progenitor cell; CEBPA; Identification (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":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.01043452,0.0009067644,0.002313195,0.002878424,0.001132419,0.0007037082,0.001936304,0.002846816,0.000002526464],"category_scores_gemma":[0.004777909,0.0006660305,0.0003237392,0.007063661,0.008835222,0.0001301336,0.00219149,0.0116795,0.000003688578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008768463,"about_ca_system_score_gemma":0.004127079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002884699,"about_ca_topic_score_gemma":0.0002256908,"domain_scores_codex":[0.9913474,0.000943906,0.002409792,0.002330195,0.000939428,0.002029227],"domain_scores_gemma":[0.9963618,0.0007146929,0.0006326205,0.0007417767,0.001118711,0.0004303854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001079238,0.0003266218,0.002686916,0.009523041,0.0001393542,0.0008554918,0.00002051014,3.213034e-7,0.01377939,0.0002600406,0.0002636416,0.9720368],"study_design_scores_gemma":[0.02073368,0.01261106,0.0004880378,0.5805148,0.001913503,0.02394045,0.002757365,0.003145889,0.0118258,0.04934303,0.2855343,0.007192068],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03841356,0.9416061,0.00002261731,0.01801557,0.0004986813,0.001262314,0.00002173031,0.00003792371,0.0001215089],"genre_scores_gemma":[0.1128439,0.8852369,0.001048307,0.0002556522,0.0000959535,0.00004212421,0.00001814545,0.00002943352,0.0004295088],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9648447,"threshold_uncertainty_score":0.9995791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06245530830236125,"score_gpt":0.3912839007602342,"score_spread":0.328828592457873,"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."}}