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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 9 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
Privacy-Preserving Spatio-Temporal Patient Data Publishing
Anifat M. Olawoyin, Carson K. Leung, Ratna Choudhury
2020· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · open_science
21
citations
affno abstractunlabeled
Privacy-Preserving Personalized Revenue Management
Yanzhe Lei, Sentao Miao, Ruslan Momot
2020· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
20
citations
affunlabeled
Kamino
Chang Ge, Shubhankar Mohapatra, Xi He, Ihab F. Ilyas
2021· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
20
citations
afffundgemma · metaresearch+open_sciencegpt · open_sciencemodels split
Guilt-free data reuse
Cynthia Dwork, Vitaly Feldman, Moritz Hardt, Toniann Pitassi, Omer Reingold, Aaron Roth
2017· article· en· Communications of the ACM· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
20
citations
afffundno abstractunlabeled
Synthetic data: revisiting the privacy-utility trade-off
Fatima Jahan Sarmin, Atiquer Rahman Sarkar, Yang Wang, Noman Mohammed
2025· article· en· International Journal of Information Security· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
19
citations
affunlabeled
Private Mean Estimation of Heavy-Tailed Distributions
Gautam Kamath, Vikrant Singhal, Jonathan Ullman
2020· article· en· Conference on Learning Theory· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
19
citations
affunlabeled
Differentially Private Two-Party Set Operations
Bailey Kacsmar, Basit Khurram, Nils Lukas, Alexander Norton, Masoumeh Shafieinejad, Zhiwei Shang +4 more
2020· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
18
citations
afffundunlabeled
Preserving RFID data privacy
Benjamin C. M. Fung, Khalil Al-Hussaeni, Mingming Cao
2009· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
18
citations
affunlabeled
<i>p</i>-Hacking, Data type and Data-Sharing Policy
Abel Brodeur, Nikolai Cook, Carina Neisser
2024· article· en· The Economic Journal· Computer Science
distilled prediction:candidate · scholarly_communication+open_scienceconsensus · open_science
18
citations
affunlabeled
Disparate Vulnerability to Membership Inference Attacks
Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso
2021· preprint· en· Proceedings on Privacy Enhancing Technologies· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · metaepi_narrow+open_science+research_integrity
18
citations
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