{"id":"W4318217624","doi":"10.1016/j.celrep.2023.112046","title":"Network analysis of large-scale ImmGen and Tabula Muris datasets highlights metabolic diversity of tissue mononuclear phagocytes","year":2023,"lang":"en","type":"article","venue":"Cell Reports","topic":"Immune cells in cancer","field":"Immunology and Microbiology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"NHLBI Division of Intramural Research; National Institute of Diabetes and Digestive and Kidney Diseases; National Cancer Institute; National Heart, Lung, and Blood Institute; Horizon 2020; Fudan University; European Research Council; University of Illinois at Urbana-Champaign; National Institutes of Health; College of Natural Resources and Sciences, Humboldt State University; Ministry of Science and Higher Education of the Russian Federation; Alexander von Humboldt-Stiftung; Institut Gustave-Roussy; Université de Montréal; Centre National de la Recherche Scientifique; Ministry of Education and Science of the Russian Federation; Institut National Du Cancer; Division of Intramural Research, National Institute of Allergy and Infectious Diseases; Institut National de la Santé et de la Recherche Médicale; Massachusetts General Hospital; Technische Universität Dresden; Fondation ARC pour la Recherche sur le Cancer; National Institute of Allergy and Infectious Diseases; Agence Nationale de la Recherche; European Commission; National Psoriasis Foundation; Horizon 2020 Framework Programme; Etablissement Français du Sang; Aix-Marseille Université","keywords":"Biology; Computational biology; Mononuclear phagocyte system; Myeloid; Metabolic network; Phagocyte; Identification (biology); Immune system; Cell biology; Immunology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005271573,0.0001663284,0.0006747279,0.0002505518,0.0002052051,0.000005037936,0.0001866424,0.0001973774,0.0007321181],"category_scores_gemma":[0.0000245438,0.0001571779,0.0001300465,0.0008821135,0.0002103688,0.00007395937,0.0007904541,0.0001289413,0.00004573155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001293845,"about_ca_system_score_gemma":0.00002996645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004616203,"about_ca_topic_score_gemma":0.00005193816,"domain_scores_codex":[0.9985421,0.0001122924,0.0005143568,0.0004012053,0.00007250717,0.0003575185],"domain_scores_gemma":[0.9985754,0.0001059595,0.0004992325,0.0007217444,0.00007048828,0.00002715654],"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":[0.0002415871,0.000436809,0.1248489,0.000234722,0.004894935,0.0005167583,0.004986375,0.002235644,0.7307942,0.0001468894,0.1289646,0.001698604],"study_design_scores_gemma":[0.0004981777,0.00005898442,0.1018916,0.00001730886,0.002484566,0.00002505748,0.0002144299,0.00003331242,0.6590524,0.0001235933,0.2353591,0.0002413756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9815632,0.0163454,0.00004404259,0.00002791612,0.0007548415,0.0001844138,0.0003151478,0.00005415625,0.0007109079],"genre_scores_gemma":[0.9946927,0.001431564,0.0001349592,0.00002892383,0.00002372594,0.000004407556,0.001321715,0.00001649936,0.002345513],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1063945,"threshold_uncertainty_score":0.801618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009166445863195722,"score_gpt":0.2380695717089343,"score_spread":0.2289031258457386,"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."}}