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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 11 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.

affno abstractunlabeled
Security and Privacy in Mobile Social Networks
Xiaohui Liang, Rongxing Lu, Xiaodong Lin, Xuemin Shen
2013· book· en· SpringerBriefs in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
14
citations
affunlabeled
Privacy-Preserving IR 2016
Grace Hui Yang, Ian Soboroff, Li Xiong, Charles L. A. Clarke, Simson Garfinkel
2016· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · open_science
14
citations
affunlabeled
Proportionally Fair Clustering Revisited
Evi Micha, Nisarg Shah
2020· article· en· DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
14
citations
afffundunlabeled
A consensus privacy metrics framework for synthetic data
Lisa Pilgram, Fida K. Dankar, Jörg Drechsler, Mark Elliot, Josep Domingo‐Ferrer, Paul Francis +9 more
2025· article· en· Patterns· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
14
citations
afffundno abstractunlabeled
COLI: Collaborative clustering missing data imputation
Daoming Wan, Roozbeh Razavi‐Far, Mehrdad Saif, Niloofar Mozafari
2021· article· en· Pattern Recognition Letters· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
14
citations
affunlabeled
SoK: Privacy-Preserving Reputation Systems
Stan Gurtler, Ian Goldberg
2020· article· en· Proceedings on Privacy Enhancing Technologies· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
14
citations
venueno affunlabeled
Advanced Approach in Sensitive Rule Hiding
K. Duraiswamy, D. Manjula, N. Maheswari
2009· article· en· Modern Applied Science· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
13
citations
affunlabeled
Data Governance in the Dairy Industry
R.I. Cue, Mark Doornink, Regi George, Benjamin Griffiths, Matthew W. Jorgensen, Ronald C. Rogers +5 more
2021· article· en· Animals· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
13
citations
affunlabeled
Differential Privacy for Databases
Joseph P. Near, Xi He
2021· article· en· Foundations and Trends in Databases· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
13
citations
affunlabeled
Privacy-Preserving Outlier Detection for Data Streams
Jonas Böhler, Daniel Bernau, Florian Kerschbaum
2017· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
13
citations
fundno affunlabeled
INSPECTRE: Privately Estimating the Unseen
Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang
2020· article· en· Journal of Privacy and Confidentiality· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
13
citations
afffundunlabeled
Addressing data privacy in matched studies via virtual pooling
Paramita Saha‐Chaudhuri, Clarice R. Weinberg
2017· article· en· BMC Medical Research Methodology· Computer Science
distilled prediction:candidate · metaresearch+sts+open_science+research_integrityconsensus · metaresearch+open_science
13
citations

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