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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.

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 15 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
Don't be a tattle-tale
Primal Pappachan, Shufan Zhang, Xi He, Sharad Mehrotra
2022· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
8
citations
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
afffundunlabeled
Data Protection: Privacy-Preserving Data Collection With Validation
Jiahui Hou, Dongxiao Liu, Cheng Huang, Weihua Zhuang, Xuemin Shen, Rob Sun +1 more
2023· article· en· IEEE Transactions on Dependable and Secure Computing· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
7
citations
affunlabeled
Secure Multi-Party linear Regression
Fida K. Dankar, Renaud Brien, Carlisle Adams, Stan Matwin
2014· article· en· EDBT/ICDT Workshops· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+open_scienceconsensus · open_science
7
citations
affno abstractunlabeled
Open Data Charter Measurement Guide
Ana Brandusescu
2018· article· en· SSRN Electronic Journal· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
7
citations
affunlabeled
Learning-Based Load-Aware Heterogeneous Vehicular Edge Computing
Zhizhong Zhang, Peng Lin, Omair Shafiq, Yu Zhang, F. Richard Yu
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+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
affunlabeled
ConTPL
Yang Cao, Li Xiong, Masatoshi Yoshikawa, Yonghui Xiao, Si Zhang
2018· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
7
citations
aboutno affunlabeled
Breach Notification in the General Data Protection Regulation
M’Bia Hortense De-Yolande, Théo Doh-Djanhoundji, Gabo Yves Constant
2023· article· en· Voice of the Publisher· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
7
citations
affno abstractunlabeled
Enabling Medical Research Through Privacy-Preserving Data Markets
Shadan Ghaffaripour, Ali Miri
2020· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+open_science+research_integrityconsensus · 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
afffundunlabeled
Privacy streamliner
Wen Ming Liu, Lingyu Wang
2012· 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
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
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