{"id":"W3043633702","doi":"10.1016/j.immuni.2020.06.013","title":"An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity","year":2020,"lang":"en","type":"article","venue":"Immunity","topic":"T-cell and B-cell Immunology","field":"Immunology and Microbiology","cited_by":264,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute of Allergy and Infectious Diseases; National Institute of General Medical Sciences; National Science Foundation; Damon Runyon Cancer Research Foundation; Canadian Institutes of Health Research; Novartis Stiftung für Medizinisch-Biologische Forschung; Bill and Melinda Gates Foundation; Stanford University; National Institute on Aging; National Institutes of Health; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Molecular Biology Organization; National Cancer Institute","keywords":"Biology; Memory B cell; Population; B cell; Effector; Cell biology; Computational biology; Immune system; Antibody; Immunology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002658973,0.0003229246,0.0005633804,0.0001148858,0.0003565955,0.00002741575,0.00102358,0.0004830495,0.001481884],"category_scores_gemma":[0.00006240203,0.0003051395,0.0001869515,0.0003078284,0.000584099,0.0003005951,0.0002874194,0.001020154,0.001249084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005152663,"about_ca_system_score_gemma":0.00007952671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002790832,"about_ca_topic_score_gemma":0.0002673415,"domain_scores_codex":[0.9976937,0.0008024959,0.0005973757,0.0003898525,0.00004757642,0.0004689911],"domain_scores_gemma":[0.9986346,0.0001001138,0.0003239284,0.0007088556,0.0001729778,0.00005950253],"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":[0.0001692957,0.00187486,0.001938611,0.00005963942,0.00008099493,0.000006898215,0.001550271,0.000006499947,0.9927541,0.0000707772,0.001040945,0.0004471073],"study_design_scores_gemma":[0.002962553,0.001257455,0.001496672,0.00001677218,0.00007404842,0.00001027394,0.001446297,0.00001610592,0.9845625,0.00004258114,0.007801373,0.0003133536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948043,0.001868417,0.0005670986,0.0001031954,0.0004816604,0.0002466158,0.00007187924,0.0001929755,0.001663837],"genre_scores_gemma":[0.9972234,0.00004544161,0.000218083,0.0002323914,0.00002456255,0.000007615029,0.0005168722,0.00003646055,0.00169512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008191585,"threshold_uncertainty_score":0.9999401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03396845308175524,"score_gpt":0.2600293340413385,"score_spread":0.2260608809595833,"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."}}