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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.

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 13 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Differentially private policy evaluation
Borja Balle, Maziar Gomrokchi, Doina Precup
2016· article· en· International Conference on Machine Learning· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
10
citations
affunlabeled
Locally Private Hypothesis Testing
Or Sheffet
2018· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · open_science
10
citations
affno abstractunlabeled
CFL: Cluster Federated Learning in Large-Scale Peer-to-Peer Networks
Qian Chen, Zilong Wang, Yilin Zhou, Jiawei Chen, Dan Xiao, Xiaodong Lin
2022· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · open_science
10
citations
affno abstractunlabeled
UtilityAware: A framework for data privacy protection in e-health
Syed Atif Moqurrab, Tariq Naeem, Manish Malik, Asim Ali Fayyaz, Muhammad Asif Jamal, Gautam Srivastava
2023· article· en· Information Sciences· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
10
citations
afffundunlabeled
Federated Deep Learning Architecture for Personalized Healthcare
Helen Chen, Shubhankar Mohapatra, George Michalopoulos, Xi He, Ian McKillop
2021· book-chapter· en· Studies in health technology and informatics· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · none
10
citations
affunlabeled
Workshop on Privacy in NLP (PrivateNLP 2020)
Oluwaseyi Feyisetan, Sepideh Ghanavati, Patricia Thaine
2020· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
10
citations
affno abstractunlabeled
Distributed Learning in Healthcare
Anup Tuladhar, Deepthi Rajashekar, Nils D. Forkert
2022· book-chapter· en· Integrated science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_science+research_integrityconsensus · open_science
10
citations
affunlabeled
Privacy Preserving Data Publishing: A Classification Perspective
A N, Charlie Obimbo
2014· article· en· International Journal of Advanced Computer Science and Applications· Computer Science
distilled prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · open_science
9
citations
affunlabeled
Privacy-Preserving Data Mining in Electronic Surveys
Justin Zhan, Stan Matwin
2007· article· en· Journal of the Association for Information Systems· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
9
citations
affno abstractunlabeled
Small sum privacy and large sum utility in data publishing
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Jia Wang, Minhao Jiang
2014· article· en· Journal of Biomedical Informatics· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
9
citations

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