{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004488296,0.0003322842,0.0006755395,0.002181103,0.0004430474,0.0008846414,0.0003341903,0.0004827881,0.00333081],"category_scores_gemma":[0.0007314274,0.0002073969,0.0004317216,0.002551882,0.0001322499,0.0003419774,0.0009142691,0.0004518334,0.001662844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002850835,"about_ca_system_score_gemma":0.0005214324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00150736,"about_ca_topic_score_gemma":0.003210555,"domain_scores_codex":[0.9996431,0.00004860969,0.00002823731,0.0001334217,0.00009892205,0.00004773022],"domain_scores_gemma":[0.9996094,0.00006865229,0.00006325909,0.0001199421,0.00008854822,0.00005018491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0008469861,0.0001305561,0.0661898,0.0009435526,0.0004239713,0.0002386196,0.0002342729,0.003072139,0.8002771,0.002102331,0.01235855,0.1131822],"study_design_scores_gemma":[0.00008178336,0.0004546253,0.5339682,0.0001828998,0.0005914291,0.002309554,0.0005080043,0.02476249,0.2699124,0.00685653,0.1602529,0.000119268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4944158,0.00686084,0.1074034,0.0005586807,0.0001422885,0.0002420868,0.3770206,0.00351851,0.009837757],"genre_scores_gemma":[0.5666006,0.002825379,0.1253017,0.000365132,0.00010245,0.0007675164,0.3000739,0.0003498054,0.003613617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00333081,"threshold_uncertainty_score":0.01114261,"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."}}