{"id":"W4318070859","doi":"10.1038/s41467-023-36188-7","title":"Author Correction: Federated learning enables big data for rare cancer boundary detection","year":2023,"lang":"en","type":"erratum","venue":"Nature Communications","topic":"Privacy-Preserving Technologies in Data","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke; University of Alberta","funders":"DOD Peer Reviewed Cancer Research Program; CHIST-ERA; FP7 People: Marie-Curie Actions; David Geffen School of Medicine, University of California, Los Angeles; National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institute of Mental Health; Medical Research Council; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Whiting School of Engineering, Johns Hopkins University; Anschutz Medical Campus, University of Colorado; Perelman School of Medicine, University of Pennsylvania; Medical Center, University of Pittsburgh; National Institutes of Health; Universitätsklinikum Heidelberg; U.S. National Library of Medicine; Brigham and Women's Hospital; Agencia Nacional de Investigación y Desarrollo; Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute; National Science Foundation; Deutschen Konsortium für Translationale Krebsforschung; Masarykova Univerzita; Universidade Federal do Paraná; Deutsche Forschungsgemeinschaft; Technische Universität München; Engineering and Physical Sciences Research Council; European Commission; Fundação de Amparo à Pesquisa do Estado de São Paulo; Flinders University; Lékařská fakulta, Masarykova univerzita; University of Oxford; U.S. Department of Defense; Cancer Research UK; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Institute of Mental Health and Neurosciences; Radiological Society of North America; Kepler Universitätsklinikum; University of Bern; Ministerstvo Zdravotnictví Ceské Republiky; Imperial College London; University of Alberta; National Institute of Neurological Disorders and Stroke; Canadian Institute for Advanced Research; Inselspital, Universitätsspital Bern; NYU Grossman School of Medicine; Case Comprehensive Cancer Center, Case Western Reserve University; Deutsches Krebsforschungszentrum; Agenția Națională pentru Cercetare și Dezvoltare; Thomas Jefferson University; School of Medicine, Case Western Reserve University; Washington University in St. Louis; University of Pittsburgh; Johns Hopkins University; Ohio State University; National Cancer Institute; Alberta Machine Intelligence Institute; University of Texas MD Anderson Cancer Center; Centre d'Imagerie BioMédicale; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Pennsylvania; U.S. Department of Veterans Affairs; Varian Medical Systems; UK Research and Innovation; Case Western Reserve University; Massachusetts General Hospital; University of California, Los Angeles; Intel Corporation; American College of Radiology Imaging Network","keywords":"Computer science; Big data; Boundary (topology); Cancer; Data science; Data mining; Biology; Mathematics; Genetics","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":[0.005217281,0.001792616,0.001586346,0.003168839,0.004443278,0.004724581,0.00311719,0.007251561,0.0407332],"category_scores_gemma":[0.0873889,0.0009384732,0.001327956,0.002319815,0.00353379,0.002439253,0.002163216,0.0131484,0.03195645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003526115,"about_ca_system_score_gemma":0.007102462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01396381,"about_ca_topic_score_gemma":0.0143526,"domain_scores_codex":[0.9938496,0.0009051302,0.0009743455,0.0009915305,0.002864538,0.000414981],"domain_scores_gemma":[0.9489737,0.01410331,0.002334466,0.00299294,0.03003929,0.001556317],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003933646,0.000006188893,0.0001200477,0.00009535176,0.00001207237,0.0006296969,0.00009584471,0.00007952659,0.0001266931,0.002228444,0.9877331,0.008833579],"study_design_scores_gemma":[0.00003135526,0.00002470395,0.0004139034,0.0003295645,0.00005015666,0.00217781,0.0001728497,0.0006068942,0.001304095,0.004292832,0.9905388,0.00005701822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0005262606,0.001092312,0.005501321,0.1105629,0.873606,0.00003677854,0.001798393,0.001407947,0.00546807],"genre_scores_gemma":[0.04620163,0.01079973,0.03024246,0.1996696,0.2826989,0.0003613005,0.005669041,0.008119417,0.4162379],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0407332,"threshold_uncertainty_score":0.1362661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1083579803400772,"score_gpt":0.3627887990126343,"score_spread":0.2544308186725572,"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."}}