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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 16 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
Federated Learning Game in IoT Edge Computing
Stéphane Durand, Kinda Khawam, Dominique Quadri, Samer Lahoud, Steven W. Martin
2024· article· en· IEEE Access· Computer Science
distilled prediction:candidate · scholarly_communication+open_scienceconsensus · open_science
7
citations
affunlabeled
SQL Privacy Model for Social Networks
Maryam Majedi, Kambiz Ghazinour, Amir H. Chinaei, Ken Barker
2009· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
7
citations
affunlabeled
Reconstruction Privacy: Enabling Statistical Learning
Ke Wang, Chao Han, Ada Wai-Chee Fu, Raymond Chi-Wing Wong, Philip S. Yu
2015· article· en· Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+open_science+insufficient_payloadconsensus · open_science
7
citations
affunlabeled
Privacy-Preserving Federated Recurrent Neural Networks
Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean‐Pierre Hubaux
2023· article· en· Proceedings on Privacy Enhancing Technologies· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
7
citations
affno abstractunlabeled
Utility Enhancement for Privacy Preserving Health Data Publishing
Lengdong Wu, Hua He, Osmar R. Zai͏̈ane
2013· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
7
citations
affaboutunlabeled
Designing Data Governance for Data Sharing
Teresa Scassa
2020· article· en· Technology and Regulation· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
7
citations
affunlabeled
Locally Private Hypothesis Selection
Sivakanth Gopi, Gautam Kamath, Janardhan Kulkarni, Aleksandar Nikolov, Zhiwei Steven Wu, Huanyu Zhang
2020· article· en· Conference on Learning Theory· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
6
citations
affunlabeled
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
Xiaofang Zhao, Qimei Cui, Weicai Li, Wei Ni, Ekram Hossain, Quan Z. Sheng +2 more
2025· article· en· IEEE Transactions on Machine Learning in Communications and Networking· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
6
citations
affunlabeled
Federated Learning for the Metaverse: A Short Survey
Gokul Yenduri, Dasaradharami Reddy Kandati, Gautam Srivastava, Y. Supriya, M. Ramalingam, Thippa Reddy Gadekallu +1 more
2023· article· en· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
6
citations

How this was built: Screen · Findings · About