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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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Privacy-Preserving Technologies in Data
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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.

1,809 results · 1 filter active ·
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20002025
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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.
1,809 works in the cohort · of 4,299,418page 1 of 37

Labels cover 7 of 1,809 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 1,809 of 1,809 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

afffundunlabeled
Privacy-preserving data publishing
Benjamin C. M. Fung, Ke Wang, Rui Chen, Philip S. Yu
2010· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
1,639
citations
afffundunlabeled
Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc‐Viet Pham, Pubudu N. Pathirana, Ming Ding, Aruna Seneviratne, Zihuai Lin +2 more
2022· review· en· ACM Computing Surveys· Computer Science
machine prediction:candidate · noneconsensus · none
733
citations
afffundunlabeled
Personalized Cross-Silo Federated Learning on Non-IID Data
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei +1 more
2021· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
659
citations
affunlabeled
(α, k)-anonymity
Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
628
citations
affunlabeled
k-automorphism
Lei Zou, Lei Chen, M. TAMER ÖZSU
2009· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
407
citations
afffundno abstractunlabeled
Security and privacy challenges in smart cities
Trevor Michael Braun, Benjamin C. M. Fung, Farkhund Iqbal, Babar Shah
2018· article· en· Sustainable Cities and Society· Computer Science
machine prediction:candidate · noneconsensus · none
345
citations
affunlabeled
Protecting Privacy Using k-Anonymity
Khaled El Emam, Fida K. Dankar
2008· article· en· Journal of the American Medical Informatics Association· Computer Science
machine prediction:candidate · noneconsensus · none
334
citations
affunlabeled
Anonymizing sequential releases
Ke Wang, Benjamin C. M. Fung
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
257
citations
affunlabeled
Publishing set-valued data via differential privacy
Rui Chen, Noman Mohammed, Benjamin C. M. Fung, Bipin C. Desai, Li Xiong
2011· article· en· Proceedings of the VLDB Endowment· Computer Science
machine prediction:candidate · noneconsensus · none
221
citations
affno abstractunlabeled
PySyft: A Library for Easy Federated Learning
Alexander Ziller, Andrew Trask, Antonio Lopardo, Benjamin Szymkow, Bobby Wagner, Emma Bluemke +6 more
2021· book-chapter· en· Studies in computational intelligence· Computer Science
machine prediction:candidate · noneconsensus · none
208
citations
affunlabeled
Privacy Preserving Clustering by Data Transformation
Stanley Robson de Medeiros Oliveira, Osmar R. Zai͏̈ane
2010· article· en· Journal of Information and Data Management· Computer Science
machine prediction:candidate · noneconsensus · none
189
citations
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