{"id":"W4388722346","doi":"10.1016/j.ccell.2023.10.008","title":"A longitudinal single-cell atlas of treatment response in pediatric AML","year":2023,"lang":"en","type":"article","venue":"Cancer Cell","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; BC Children's Hospital; Children's & Women's Health Centre of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"BC Cancer Foundation; University of British Columbia; Canada Research Chairs; Genome British Columbia; Michael Smith Health Research BC; Canada Foundation for Innovation; Canadian Institutes of Health Research; Genome Canada","keywords":"Myeloid leukemia; Myeloid; Biology; Cell lineage; Single-cell analysis; Cell; Cancer research; Computational biology; Genetics; Gene; Cellular differentiation","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001056296,0.0001415981,0.00015996,0.00006702579,0.00002466308,0.00000774379,0.0001173232,0.0001112942,0.0000348151],"category_scores_gemma":[0.00001045715,0.0001341555,0.00009673701,0.0002232632,0.00003426046,0.000002641217,0.00002983907,0.00004396998,0.00001694957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000102102,"about_ca_system_score_gemma":0.000178553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003745746,"about_ca_topic_score_gemma":0.0004814141,"domain_scores_codex":[0.9991346,0.0000553311,0.0002011738,0.0002918743,0.00007487287,0.000242126],"domain_scores_gemma":[0.9995919,0.0000263271,0.0000637604,0.0002230672,0.00003552449,0.00005943712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009687098,0.0002333481,0.06421916,0.00006074073,0.000009308467,0.00001290012,0.0001805915,0.0006180552,0.9324992,8.691931e-7,0.0006905372,0.0005065466],"study_design_scores_gemma":[0.001890189,0.001571495,0.02070519,0.00001133536,0.000042241,0.000001250672,0.00008087923,0.0001163023,0.9646609,0.000007156352,0.01069367,0.0002193594],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957896,0.002484562,0.00003591549,0.00004142803,0.0002350415,0.0001358151,0.00003789502,0.00001402202,0.001225678],"genre_scores_gemma":[0.9938844,0.0030256,0.0000644227,0.00002396957,0.0001933721,0.00003319957,0.00004484814,0.00002418664,0.002705988],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04351397,"threshold_uncertainty_score":0.5470704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0294853253461207,"score_gpt":0.2599741829668288,"score_spread":0.2304888576207081,"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."}}