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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

332 results · 1 filter active ·
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
332 works in the cohort · of 4,299,418page 1 of 7

Labels cover 1 of 332 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 332 of 332 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Adu, K.K. and Adjei, E. (2018). The phenomenon of data loss and cyber security issues in Ghana. Foresight, 20(2), 150–61. Ahmed, M.T.U., Bhuiya, N.I. and Rahman, M.M. (2017). A secure enterprise architecture focused on security and technology-transformation (SEAST), The 12th International Conference for Internet Technology and Secured Transactions, (ICITST-2017), Cambridge, UK, 11–4/12/2017. Alanazi, S.T., Anbar, M., Ebad, S.A., Karuppayah, S. and Al-Ani, H.A. (2020). Theory-based model and prediction analysis of information security compliance behavior in the Saudi healthcare sector. Symmetry, 12(9), 1544. DOI: 10.3390/sym12091544 Alateyah, S.A., Crowder, R.M. and Wills, G.B. (2013). Identified factors affecting the citizen’s intention to adopt e-government in Saudi Arabia. World Academy of Science, Engineering and Technology, 7(8), 904–12. Antonino, P., Duszynski, S., Jung, C. and Rudolph, M. (2010). Indicator-based architecture-level security evaluation in a service-oriented environment. In: The Fourth European Conference on Software Architecture: Copenhagen, Denmark, 23–26/08/2010. DOI: 10.1145/1842752.1842795. Chaturvedi, M., Gupta, M. and Bhattacharya, J. (2008). Cyber Security Infrastructure in India: A Study, Emerging Technologies in E-Government. Available at: http://www.csi-sigegov.org/emerging_pdf/9_70-84.pdf (Accessed on 15/11/2020). Dalol, M.H. (2018). Effectiveness of Accounting Information Systems in Light of Development of IT Infrastructure and Information Security. Master’s Dissertation, The Islamic University of Gaza, Gaza, Palestine. Dooley, K. (2001). Designing Large Scale LANs: Help for Network Designers. USA: O'Reilly Media. Ebad, S. (2018a) An exploratory study of ICT projects failure in emerging markets. Journal of Global Information Technology Management, 21(2), 139–60. DOI: 10.1080/1097198X.2018.1462071. Ebad, S. (2018b). The influencing causes of software unavailability: A case study from industry. Software Practice and Experience, 48(5), 1056–76. DOI: 10.1002/spe.2569. Hashizume, K., Rosado, D.G., Fernández-Medina, E. and Fernandez, E.B. (2013). An analysis of security issues for cloud computing. Journal of Internet Services and Applications, 4(5), n/a. DOI: 10.1186/1869-0238-4-5. Kirby, L. (2015). Beyond Cyber Security: Protecting Your IT Infrastructure. Available at https://uptimeinstitute.com/images/Documents/ProtectingYourITInfrastructure.pdf (accessed on 15/11/2020). Lethbridge, T.C., Sim, S.E. and Singer, J. (2005). Studying software engineers: Data collection techniques for software field studies. Empirical Software Engineering, 10(3), 311–41. Marrone, M. and Kolbe, L.M. (2011). Impact of IT service management frameworks on the IT organization. Business and Information Systems Engineering, 3(1), 5–18. Mastelic, T. and Brandic, I. (2013). TimeCap: Methodology for comparing IT infrastructures based on time and capacity metrics. In: The IEEE 6th International Conference on Cloud Computing, 131–8, Santa Clara, CA, USA, 28/06–03/07/2013. Mimura, M. and Suga, Y. (2019). Filtering malicious JavaScript code with Doc2Vec on an imbalanced dataset. In: The 14th Asia Joint Conference on Information Security (AsiaJCIS), Kobe, Japan, 24–31/08/2019. Pearlson, K.E., Saunders, C.S. and Galletta, D.F. (2019). Managing and Using Information Systems. 5th edition, USA: Wiley. Popp, K. and Meyer, R. (2011). Profit from Software Ecosystems Models, Ecosystems and Partnerships in the Software Industry. Norderstedt, Germany: Books on Demand. Priem, R. (2020). Distributed ledger technology for securities clearing and settlement: Benefits, risks, and regulatory implications. Financial Innovation, 6(11), n/a. DOI: 10.1186/s40854-019-0169-6. Rabii, L. and Abdelaziz, D. (2015). Comparison of e-readiness composite indicators, The 15th International Conference on Intelligent Systems Design and Applications (ISDA), Marrakech, Morocco, 14–16/12/2015. Sanchez-Nielsen, E., Padron-Ferrer, A. and Marreo-Estevez, F. (2011). A multi-agent system for incident management solutions on IT infrastructures. In: The 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA 2011), La Laguna, Spain, 07–11/11/2011. Schoenfisch, J, Meilicke, C., Stülpnagel, J.V. and Ortmann, J (2018). Root cause analysis in IT infrastructures using ontologies and abduction in Markov logic networks. Information Systems, 74(2), 103–16. Shang, S. and Seddon, P.B. (2000). A comprehensive framework for classifying the benefits of ERP systems. In: The 2000 American Conference of Information Systems, Long Beach, California, 10–13/08/2000. Shoffner, M., Owen, P., Mostafa, J., Lamm, B., Wang, X., Schmitt, C.P. and Ahalt S.C. (2013). The secure medical research workspace: An IT infrastructure to enable secure research on clinical data. Clinical and Translational Science, 6 (3), 222–5. Shrivastava, A.K. (2015). The impact assessment of IT Infrastructure on information security: a survey report. In: International Conference on Inf
2021· article· en· Scientific Journal of King Faisal University Basic and Applied Sciences· Environmental Science
distilled prediction:candidate · noneconsensus · none
21
citations
affno abstractunlabeled
Corporate Social Responsibility
2014· book-chapter· en· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
13
citations
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