{"id":"W4405079562","doi":"10.1038/s41592-024-02495-0","title":"The dynamics of hematopoiesis over the human lifespan","year":2024,"lang":"en","type":"article","venue":"Nature Methods","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Division of Cancer Epidemiology and Genetics, National Cancer Institute; National Institute of General Medical Sciences; U.S. Department of Health and Human Services; National Cancer Institute; National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Instituto Nacional de Ciência e Tecnologia de Informação Quântica; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biology; Stem cell; Haematopoiesis; Progenitor cell; Transcriptome; Myeloid; Cell biology; Hematopoietic stem cell; Progenitor; Immunology; Genetics; Gene expression; Gene","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":[0.0008211778,0.0001115484,0.0001071188,0.00001956649,0.0001601259,0.0000510667,0.0003148643,0.000293751,0.00001120549],"category_scores_gemma":[0.0001362678,0.00005873902,0.0001586606,0.0001292662,0.0001404747,0.000001721216,0.00006084509,0.0003781569,8.810539e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000011494,"about_ca_system_score_gemma":0.00003870898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001532758,"about_ca_topic_score_gemma":0.0001009094,"domain_scores_codex":[0.9991789,0.0002111847,0.0001622877,0.0001903979,0.0001118232,0.0001453314],"domain_scores_gemma":[0.9993664,0.0001391573,0.00003603278,0.0003858277,0.00004679907,0.00002579215],"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":[0.00003211647,0.00003259079,0.0006360561,0.00008596511,0.0002182914,0.000002289202,0.0001753097,0.000009889944,0.9028606,0.04897356,0.005547835,0.04142554],"study_design_scores_gemma":[0.0002149589,0.0001299337,0.002179915,0.00004697891,0.0001071945,0.0000179915,0.000174535,0.002297522,0.5593621,0.005798394,0.4294291,0.0002413835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7996219,0.06723631,0.1112603,0.005227972,0.004618231,0.0005238473,0.00008380754,0.00008444423,0.01134317],"genre_scores_gemma":[0.9867249,0.0002351586,0.00981539,0.0003599207,0.0004003275,0.00001008242,0.00003448643,0.00003090721,0.002388827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4238813,"threshold_uncertainty_score":0.2395308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01143090127663814,"score_gpt":0.3498145012342258,"score_spread":0.3383835999575877,"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."}}