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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.

affaffiliation
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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 10 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
<i>DARM</i>
Omar Abdel Wahab, Moulay Omar Hachami, Arslan Zaffari, Mery Vivas, Gaby G. Dagher
2014· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
17
citations
affunlabeled
Zero-knowledge private graph summarization
Maryam Shoaran, Alex Thomo, Jens H. Weber-Jahnke
2013· article· en· Computer Science
distilled prediction:candidate · open_science+insufficient_payloadconsensus · open_science
17
citations
affno abstractunlabeled
Privacy-aware data cleaning-as-a-service
Yu Huang, Mostafa Milani, Fei Chiang
2020· article· en· Information Systems· Computer Science
distilled prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · open_science
17
citations
affno abstractunlabeled
Quantifying Privacy Violations
Mishtu Banerjee, Rosa Karimi Adl, Leanne Wu, Ken Barker
2011· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
16
citations
affno abstractunlabeled
Trustworthy Federated Learning
2023· book· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · open_science
16
citations
affunlabeled
FL-MAB
Zahra Batool, Kaiwen Zhang, Matthew Toews
2022· article· en· Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
16
citations
affno abstractunlabeled
Differential Privacy in Practice
Maryam Shoaran, Alex Thomo, Jens Weber
2012· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · open_science
16
citations
aboutno affunlabeled
Inference attacks based on GAN in federated learning
Trung Ha, Tran Khanh Dang
2022· article· en· International Journal of Web Information Systems· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
16
citations
affunlabeled
Demonstration of dealer
Qiongqiong Lin, Jiayao Zhang, Jinfei Liu, Kui Ren, Jian Lou, Junxu Liu +3 more
2021· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
16
citations
affno abstractunlabeled
A Framework for Privacy-Aware User Data Trading
Johnson Iyilade, Julita Vassileva
2013· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
16
citations
affunlabeled
The Risk-Utility Tradeoff for Data Privacy Models
M. Almasi, Taha R. Siddiqui, Noman Mohammed, Hadi Hemmati
2016· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
16
citations
affunlabeled
Classification spanning private databases
Ke Wang, Yabo Xu, Rong She, Philip S. Yu
2006· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
15
citations
affno abstractunlabeled
Big Data Management for Machine Learning from Big Data
Anifat M. Olawoyin, Carson K. Leung, Connor C.J. Hryhoruk, Alfredo Cuzzocrea
2023· book-chapter· en· Lecture notes in networks and systems· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
15
citations
affunlabeled
PACAS: Privacy-Aware, Data Cleaning-as-a-Service
Yu Huang, Mostafa Milani, Fei Chiang
2018· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_science+insufficient_payloadconsensus · open_science
15
citations

How this was built: Screen · Findings · About