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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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Journal of Privacy and Confidentiality
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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.

affaffiliation
fundfunder
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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.

14 results · 1 filter active ·
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20102024
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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.
14 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 14 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 14 of 14 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Discrete Gaussian for Differential Privacy
2022· article· en· Journal of Privacy and Confidentiality· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
37
citations
affunlabeled
Heterogeneous Differential Privacy
2017· preprint· en· Journal of Privacy and Confidentiality· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
35
citations
affunlabeled
Differentially Private Ordinary Least Squares
2019· preprint· en· Journal of Privacy and Confidentiality· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
25
citations
fundno affunlabeled
INSPECTRE: Privately Estimating the Unseen
2020· article· en· Journal of Privacy and Confidentiality· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
13
citations
aboutno affunlabeled
Research Data Centres - a Regulator's Perspective
2021· article· en· Journal of Privacy and Confidentiality· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
1
citations
aboutno affunlabeled
Program for TPDP 2018
2018· article· en· Journal of Privacy and Confidentiality· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About