{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T03:36:43Z","timestamp":1774409803758,"version":"3.50.1"},"reference-count":53,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T00:00:00Z","timestamp":1593993600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T00:00:00Z","timestamp":1593993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Harvard Quantum Initiative"},{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["T32 HL007575"],"award-info":[{"award-number":["T32 HL007575"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["K24 HL136852"],"award-info":[{"award-number":["K24 HL136852"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000050","name":"U.S. Department of Health & Human Services | NIH | National Heart, Lung, and Blood Institute","doi-asserted-by":"publisher","award":["5K01HL135342"],"award-info":[{"award-number":["5K01HL135342"]}],"id":[{"id":"10.13039\/100000050","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000181","name":"United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research","doi-asserted-by":"publisher","award":["FA95501610323"],"award-info":[{"award-number":["FA95501610323"]}],"id":[{"id":"10.13039\/100000181","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"United States Department of Defense | Defense Advanced Research Projects Agency","doi-asserted-by":"publisher","award":["D18AC00014"],"award-info":[{"award-number":["D18AC00014"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006602","name":"United States Department of Defense | United States Air Force | AFMC | Air Force Research Laboratory","doi-asserted-by":"publisher","award":["FA9550-14-1-0035"],"award-info":[{"award-number":["FA9550-14-1-0035"]}],"id":[{"id":"10.13039\/100006602","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100019611","name":"Harvard-MIT CUA","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100019611","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Nat Mach Intell"],"DOI":"10.1038\/s42256-020-0198-x","type":"journal-article","created":{"date-parts":[[2020,7,6]],"date-time":"2020-07-06T16:03:42Z","timestamp":1594051422000},"page":"396-402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Quantum approximate Bayesian computation for NMR model inference"],"prefix":"10.1038","volume":"2","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6518-761X","authenticated-orcid":false,"given":"Dries","family":"Sels","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4566-0582","authenticated-orcid":false,"given":"Hesam","family":"Dashti","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6283-0980","authenticated-orcid":false,"given":"Samia","family":"Mora","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3355-3210","authenticated-orcid":false,"given":"Olga","family":"Demler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eugene","family":"Demler","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,7,6]]},"reference":[{"key":"198_CR1","doi-asserted-by":"crossref","first-page":"79","DOI":"10.22331\/q-2018-08-06-79","volume":"2","author":"J Preskill","year":"2018","unstructured":"Preskill, J. Quantum computing in the NISQ era and beyond. Quantum 2, 79\u201398 (2018).","journal-title":"Quantum"},{"key":"198_CR2","doi-asserted-by":"crossref","first-page":"579","DOI":"10.1038\/nature24622","volume":"551","author":"H Bernien","year":"2017","unstructured":"Bernien, H. et al. Probing many-body dynamics on a 51-atom quantum simulator. Nature 551, 579\u2013584 (2017).","journal-title":"Nature"},{"key":"198_CR3","first-page":"021012","volume":"8","author":"N Friis","year":"2018","unstructured":"Friis, N. et al. Observation of entangled states of a fully controlled 20-qubit system. Phys. Rev. X 8, 021012 (2018).","journal-title":"Phys. Rev. X"},{"key":"198_CR4","unstructured":"Farhi, E., Goldstone, J. & Gutmann, S. A quantum approximate optimization algorithm. Preprint at https:\/\/arxiv.org\/abs\/1411.4028 (2014)."},{"key":"198_CR5","doi-asserted-by":"crossref","DOI":"10.1038\/ncomms5213","volume":"5","author":"A Peruzzo","year":"2014","unstructured":"Peruzzo, A. et al. A variational eigenvalue solver on a photonic quantum processor. Nat. Commun. 5, 4213 (2014).","journal-title":"Nat. Commun."},{"key":"198_CR6","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1038\/s41586-019-1177-4","volume":"569","author":"C Kokail","year":"2019","unstructured":"Kokail, C. et al. Self-verifying variational quantum simulation of lattice models. Nature 569, 355\u2013360 (2019).","journal-title":"Nature"},{"key":"198_CR7","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1038\/nature23879","volume":"549","author":"A Kandala","year":"2017","unstructured":"Kandala, A. et al. Hardware-efficient variational quantum eigensolver for small molecules and quantum magnets. Nature 549, 242\u2013246 (2017).","journal-title":"Nature"},{"key":"198_CR8","first-page":"011021","volume":"8","author":"JI Colless","year":"2018","unstructured":"Colless, J. I. et al. Computation of molecular spectra on a quantum processor with an error-resilient algorithm. Phys. Rev. X 8, 011021 (2018).","journal-title":"Phys. Rev. X"},{"key":"198_CR9","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1111\/j.2517-6161.1984.tb01290.x","volume":"46","author":"PJ Diggle","year":"1984","unstructured":"Diggle, P. J. & Gratton, R. J. Monte Carlo methods of inference for implicit statistical models. J. R. Stat. Soc. B 46, 193\u2013227 (1984).","journal-title":"J. R. Stat. Soc. B"},{"key":"198_CR10","doi-asserted-by":"crossref","first-page":"2025","DOI":"10.1093\/genetics\/162.4.2025","volume":"162","author":"MA Beaumont","year":"2002","unstructured":"Beaumont, M. A., Zhang, W. & Balding, D. J. Approximate Bayesian computation in population genetics. Genetics 162, 2025\u20132035 (2002).","journal-title":"Genetics"},{"key":"198_CR11","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1126\/science.275.5298.350","volume":"275","author":"NA Gershenfeld","year":"1997","unstructured":"Gershenfeld, N. A. & Chuang, I. L. Bulk spin-resonance quantum computation. Science 275, 350\u2013356 (1997).","journal-title":"Science"},{"key":"198_CR12","doi-asserted-by":"crossref","first-page":"1054","DOI":"10.1103\/PhysRevLett.83.1054","volume":"83","author":"SL Braunstein","year":"1999","unstructured":"Braunstein, S. L. et al. Separability of very noisy mixed states and implications for NMR quantum computing. Phys. Rev. Lett. 83, 1054\u20131057 (1999).","journal-title":"Phys. Rev. Lett."},{"key":"198_CR13","doi-asserted-by":"crossref","first-page":"167901","DOI":"10.1103\/PhysRevLett.88.167901","volume":"88","author":"NC Menicucci","year":"2002","unstructured":"Menicucci, N. C. & Caves, C. M. Local realistic model for the dynamics of bulk-ensemble NMR information processing. Phys. Rev. Lett. 88, 167901 (2002).","journal-title":"Phys. Rev. Lett."},{"key":"198_CR14","doi-asserted-by":"crossref","first-page":"042310","DOI":"10.1103\/PhysRevA.75.042310","volume":"75","author":"A Datta","year":"2007","unstructured":"Datta, A. & Vidal, G. Role of entanglement and correlations in mixed-state quantum computation. Phys. Rev. A 75, 042310 (2007).","journal-title":"Phys. Rev. A"},{"key":"198_CR15","doi-asserted-by":"crossref","first-page":"5672","DOI":"10.1103\/PhysRevLett.81.5672","volume":"81","author":"E Knill","year":"1998","unstructured":"Knill, E. & Laflamme, R. Power of one bit of quantum information. Phys. Rev. Lett. 81, 5672\u20135675 (1998).","journal-title":"Phys. Rev. Lett."},{"key":"198_CR16","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1038\/nature23474","volume":"549","author":"J Biamonte","year":"2017","unstructured":"Biamonte, J. et al. Quantum machine learning. Nature 549, 195\u2013202 (2017).","journal-title":"Nature"},{"key":"198_CR17","unstructured":"Brassard, G. & Hoyer, P. An exact quantum polynomial-time algorithm for Simon\u2019s problem. In Proceedings of the Fifth Israeli Symposium on Theory of Computing and Systems 12\u201323 (IEEE, 1997).<q>"},{"key":"198_CR18","doi-asserted-by":"crossref","first-page":"4329","DOI":"10.1103\/PhysRevLett.80.4329","volume":"80","author":"LK Grover","year":"1998","unstructured":"Grover, L. K. Quantum computers can search rapidly by using almost any transformation. Phys. Rev. Lett. 80, 4329\u20134332 (1998).","journal-title":"Phys. Rev. Lett."},{"key":"198_CR19","doi-asserted-by":"crossref","first-page":"150502","DOI":"10.1103\/PhysRevLett.103.150502","volume":"103","author":"AW Harrow","year":"2009","unstructured":"Harrow, A. W., Hassidim, A. & Lloyd, S. Quantum algorithm for linear systems of equations. Phys. Rev. Lett. 103, 150502 (2009).","journal-title":"Phys. Rev. Lett."},{"key":"198_CR20","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1111\/j.1469-185X.2010.00157.x","volume":"86","author":"JHF Bothwell","year":"2011","unstructured":"Bothwell, J. H. F. & Griffin, J. L. An introduction to biological nuclear magnetic resonance spectroscopy. Biol. Rev. 86, 493\u2013510 (2011).","journal-title":"Biol. Rev."},{"key":"198_CR21","doi-asserted-by":"crossref","first-page":"e139","DOI":"10.1038\/emm.2014.101","volume":"47","author":"J-H Hwang","year":"2015","unstructured":"Hwang, J.-H. & Choi, C. S. Use of in vivo magnetic resonance spectroscopy for studying metabolic diseases. Exp. Mol. Med. 47, e139 (2015).","journal-title":"Exp. Mol. Med."},{"key":"198_CR22","doi-asserted-by":"crossref","first-page":"2692","DOI":"10.1038\/nprot.2007.376","volume":"2","author":"O Beckonert","year":"2007","unstructured":"Beckonert, O. et al. Metabolic profiling, metabolomic and metabonomic procedures for NMR spectroscopy of urine, plasma, serum and tissue extracts. Nat. Protoc. 2, 2692\u20132703 (2007).","journal-title":"Nat. Protoc."},{"key":"198_CR23","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1021\/ac504075g","volume":"87","author":"CK Larive","year":"2015","unstructured":"Larive, C. K., Barding, G. A. & Dinges, M. M. NMR spectroscopy for metabolomics and metabolic profiling. Anal. Chem. 87, 133\u2013146 (2015).","journal-title":"Anal. Chem."},{"key":"198_CR24","doi-asserted-by":"crossref","first-page":"9963","DOI":"10.1021\/jo4011624","volume":"78","author":"J Napolitano","year":"2013","unstructured":"Napolitano, J. et al. Proton fingerprints portray molecular structures: enhanced description of the 1H NMR spectra of small molecules. J. Org. Chem. 78, 9963\u20139968 (2013).","journal-title":"J. Org. Chem."},{"key":"198_CR25","doi-asserted-by":"crossref","first-page":"e0124219","DOI":"10.1371\/journal.pone.0124219","volume":"10","author":"S Ravanbakhsh","year":"2015","unstructured":"Ravanbakhsh, S. et al. Accurate, fully-automated NMR spectral profiling for metabolomics. PLoS ONE 10, e0124219 (2015).","journal-title":"PLoS ONE"},{"key":"198_CR26","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1002\/mrm.1910150212","volume":"15","author":"AA De Graaf","year":"1990","unstructured":"De Graaf, A. A. & Bove\u00e9, W. M. M. J. Improved quantification of in vivo 1H NMR spectra by optimization of signal acquisition and processing and by incorporation of prior knowledge into the spectral fitting. Magn. Reson. Med. 15, 305\u2013319 (1990).","journal-title":"Magn. Reson. Med."},{"key":"198_CR27","doi-asserted-by":"crossref","first-page":"1245","DOI":"10.1093\/clinchem\/40.7.1245","volume":"40","author":"RA Wevers","year":"1994","unstructured":"Wevers, R. A., Engelke, U. & Heerschap, A. High-resolution 1H-NMR spectroscopy of blood plasma for metabolic studies. Clin. Chem. 40, 1245\u20131250 (1994).","journal-title":"Clin. Chem."},{"key":"198_CR28","doi-asserted-by":"crossref","first-page":"744","DOI":"10.1093\/clinchem\/41.5.744","volume":"41","author":"RA Wevers","year":"1995","unstructured":"Wevers, R. A. et al. Standardized method for high-resolution 1H-NMR of cerebrospinal fluid. Clin. Chem. 41, 744\u2013751 (1995).","journal-title":"Clin. Chem."},{"key":"198_CR29","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1002\/1099-1492(200005)13:3<129::AID-NBM619>3.0.CO;2-V","volume":"13","author":"V Govindaraju","year":"2000","unstructured":"Govindaraju, V., Young, K. & Maudsley, A. A. Proton NMR chemical shifts and coupling constants for brain metabolites. NMR Biomed. 13, 129\u2013153 (2000).","journal-title":"NMR Biomed."},{"key":"198_CR30","doi-asserted-by":"crossref","first-page":"10646","DOI":"10.1021\/acs.analchem.8b02660","volume":"90","author":"H Dashti","year":"2018","unstructured":"Dashti, H. et al. Applications of parametrized NMR spin systems of small molecules. Anal. Chem. 90, 10646\u201310649 (2018).","journal-title":"Anal. Chem."},{"key":"198_CR31","doi-asserted-by":"crossref","first-page":"12201","DOI":"10.1021\/acs.analchem.7b02884","volume":"89","author":"H Dashti","year":"2017","unstructured":"Dashti, H. et al. Spin system modeling of nuclear magnetic resonance spectra for applications in metabolomics and small molecule screening. Anal. Chem. 89, 12201\u201312208 (2017).","journal-title":"Anal. Chem."},{"key":"198_CR32","doi-asserted-by":"crossref","first-page":"245101","DOI":"10.1103\/PhysRevB.63.245101","volume":"63","author":"CJ Pickard","year":"2001","unstructured":"Pickard, C. J. & Mauri, F. All-electron magnetic response with pseudopotentials: NMR chemical shifts. Phys. Rev. B 63, 245101 (2001).","journal-title":"Phys. Rev. B"},{"key":"198_CR33","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-018-06972-x","volume":"9","author":"FM Paruzzo","year":"2018","unstructured":"Paruzzo, F. M. et al. Chemical shifts in molecular solids by machine learning. Nat. Commun. 9, 4501 (2018).","journal-title":"Nat. Commun."},{"key":"198_CR34","unstructured":"Levitt, M. H. Spin Dynamics: Basics of Nuclear Magnetic Resonance (Wiley, 2008)."},{"key":"198_CR35","unstructured":"Dashti, H. Guided Ideographic Spin System Model Optimization (GISSMO)<q> (2019); http:\/\/gissmo.nmrfam.wisc.edu\/"},{"key":"198_CR36","first-page":"2579","volume":"9","author":"L van der Maaten","year":"2008","unstructured":"van der Maaten, L. & Hinton, G. Visualizing data using t-SNE. J. Mach. Learn. Res. 9, 2579\u20132605 (2008).","journal-title":"J. Mach. Learn. Res."},{"key":"198_CR37","unstructured":"van der Maaten, L. https:\/\/lvdmaaten.github.io\/tsne\/ (2019)."},{"key":"198_CR38","unstructured":"Ester, M., Kriegel, H.-P., Sander, J. & Xu, X. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proceedings of the Second International Conference on Knowledge, Discovery and Data Mining 226\u2013231 (AAAI Press, 1996)."},{"key":"198_CR39","doi-asserted-by":"crossref","first-page":"D402","DOI":"10.1093\/nar\/gkm957","volume":"36","author":"EL Ulrich","year":"2008","unstructured":"Ulrich, E. L. et al. Biomagresbank. Nucleic Acids Res. 36, D402\u2013D408 (2008).","journal-title":"Nucleic Acids Res."},{"key":"198_CR40","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.jmr.2018.11.004","volume":"298","author":"S Sokolenko","year":"2019","unstructured":"Sokolenko, S. et al. Robust 1D NMR lineshape fitting using real and imaginary data in the frequency domain. J. Magn. Reson. 298, 91\u2013100 (2019).","journal-title":"J. Magn. Reson."},{"key":"198_CR41","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/TSP.2018.2878543","volume":"67","author":"K Xu","year":"2019","unstructured":"Xu, K., Marrelec, G., Bernard, S. & Grimal, Q. Lorentzian-model-based Bayesian analysis for automated estimation of attenuated resonance spectrum. IEEE Trans. Signal Process. 67, 4\u201316 (2019).","journal-title":"IEEE Trans. Signal Process."},{"key":"198_CR42","doi-asserted-by":"crossref","first-page":"505","DOI":"10.1038\/s41586-019-1666-5","volume":"574","author":"F Arute","year":"2019","unstructured":"Arute, F. et al. Quantum supremacy using a programmable superconducting processor. Nature 574, 505\u2013510 (2019).","journal-title":"Nature"},{"key":"198_CR43","doi-asserted-by":"crossref","DOI":"10.1038\/s41467-018-07090-4","volume":"9","author":"JR McClean","year":"2018","unstructured":"McClean, J. R., Boixo, S., Smelyanskiy, V. N., Babbush, R. & Neven, H. Barren plateaus in quantum neural network training landscapes. Nat. Commun. 9, 4812 (2018).","journal-title":"Nat. Commun."},{"key":"198_CR44","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1038\/s41586-019-1177-4","volume":"569","author":"C Kokail","year":"2019","unstructured":"Kokail, C. et al. Self-verifying variational quantum simulation of lattice models. Nature 569, 355\u2013360 (2019).","journal-title":"Nature"},{"key":"198_CR45","doi-asserted-by":"crossref","first-page":"062327","DOI":"10.1103\/PhysRevA.96.062327","volume":"96","author":"M Kieferov\u00e1","year":"2017","unstructured":"Kieferov\u00e1, M. & Wiebe, N. Tomography and generative training with quantum Boltzmann machines. Phys. Rev. A 96, 062327 (2017).","journal-title":"Phys. Rev. A"},{"key":"198_CR46","first-page":"021050","volume":"8","author":"MH Amin","year":"2018","unstructured":"Amin, M. H., Andriyash, E., Rolfe, J., Kulchytskyy, B. & Melko, R. Quantum Boltzmann machine. Phys. Rev. X 8, 021050 (2018).","journal-title":"Phys. Rev. X"},{"key":"198_CR47","unstructured":"Zhou, L., Wang, S.-T., Choi, S., Pichler, H. & Lukin, M. D. Quantum approximate optimization algorithm: performance, mechanism and implementation on near-term devices. Preprint at https:\/\/arxiv.org\/abs\/1812.01041 (2018)."},{"key":"198_CR48","unstructured":"Radford, N. in Handbook of Markov Chain Monte Carlo (eds Brooks, S. et al.) 116\u2013162 (CRC, 2011)."},{"key":"198_CR49","doi-asserted-by":"crossref","unstructured":"Murakami, Y. & Ishihara, S. (eds) Resonant X-ray Scattering in Correlated Systems (Springer, 2017).","DOI":"10.1007\/978-3-662-53227-0"},{"key":"198_CR50","doi-asserted-by":"crossref","first-page":"220407","DOI":"10.1103\/PhysRevLett.89.220407","volume":"89","author":"W Hofstetter","year":"2002","unstructured":"Hofstetter, W., Cirac, J. I., Zoller, P., Demler, E. & Lukin, M. D. High-temperature superfluidity of fermionic atoms in optical lattices. Phys. Rev. Lett. 89, 220407 (2002).","journal-title":"Phys. Rev. Lett."},{"key":"198_CR51","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1103\/RevModPhys.80.885","volume":"80","author":"I Bloch","year":"2008","unstructured":"Bloch, I., Dalibard, J. & Zwerger, W. Many-body physics with ultracold gases. Rev. Mod. Phys. 80, 885\u2013964 (2008).","journal-title":"Rev. Mod. Phys."},{"key":"198_CR52","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1103\/RevModPhys.83.705","volume":"83","author":"LJP Ament","year":"2011","unstructured":"Ament, L. J. P., van Veenendaal, M., Devereaux, T. P., Hill, J. P. & van den Brink, J. Resonant inelastic X-ray scattering studies of elementary excitations. Rev. Mod. Phys. 83, 705\u2013767 (2011).","journal-title":"Rev. Mod. Phys."},{"key":"198_CR53","doi-asserted-by":"crossref","DOI":"10.1140\/epjqt\/s40507-016-0049-1","volume":"3","author":"JM Kreula","year":"2016","unstructured":"Kreula, J. M. et al. Few-qubit quantum-classical simulation of strongly correlated lattice fermions. EPJ Quantum Technol. 3, 11 (2016).","journal-title":"EPJ Quantum Technol."}],"container-title":["Nature Machine Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.nature.com\/articles\/s42256-020-0198-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42256-020-0198-x","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.nature.com\/articles\/s42256-020-0198-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,9]],"date-time":"2024-08-09T10:24:46Z","timestamp":1723199086000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.nature.com\/articles\/s42256-020-0198-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,6]]},"references-count":53,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2020,7]]}},"alternative-id":["198"],"URL":"https:\/\/doi.org\/10.1038\/s42256-020-0198-x","relation":{},"ISSN":["2522-5839"],"issn-type":[{"value":"2522-5839","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,6]]},"assertion":[{"value":"17 September 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 June 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"6 July 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The authors declare no competing interests.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}]}}