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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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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 2 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.

afffundunlabeled
On the privacy-conscientious use of mobile phone data
Yves-Alexandre de Montjoye, Sébastien Gambs, Vincent D. Blondel, Geoffrey Canright, Nicolas de Cordes, Sébastien Deletaille +15 more
2018· editorial· en· Scientific Data· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · open_science
168
citations
affunlabeled
FDML
Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou
2019· article· en· Computer Science
distilled prediction:candidate · open_science+insufficient_payloadconsensus · open_science
163
citations
affunlabeled
Privacy Preserving Clustering by Data Transformation.
Stanley Robson de Medeiros Oliveira, Osmar R. Zai͏̈ane
2003· article· en· Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+sts+open_scienceconsensus · open_science
146
citations
afffundunlabeled
Federated Learning Meets Multi-Objective Optimization
Zeou Hu, Kiarash Shaloudegi, Guojun Zhang, Yaoliang Yu
2022· article· en· IEEE Transactions on Network Science and Engineering· Computer Science
distilled prediction:candidate · stsconsensus · none
146
citations
affunlabeled
Robust Federated Learning With Noisy Communication
Fan Ang, Li Chen, Nan Zhao, Yunfei Chen, Weidong Wang, F. Richard Yu
2020· article· en· IEEE Transactions on Communications· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
146
citations
afffundunlabeled
Decentralized federated learning through proxy model sharing
Shivam Kalra, Junfeng Wen, Jesse C. Cresswell, Maksims Volkovs, Hamid R. Tizhoosh
2023· article· en· Nature Communications· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
143
citations
affno abstractunlabeled
Federated learning for drone authentication
Abbas Yazdinejad, Reza M. Parizi, Ali Dehghantanha, Hadis Karimipour
2021· article· en· Ad Hoc Networks· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
116
citations
affunlabeled
Pan-Private Streaming Algorithms
Cynthia Dwork, Moni Naor, Toniann Pitassi, Guy N. Rothblum, Sergey Yekhanin
2010· article· en· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
113
citations
affunlabeled
PrivateSQL
Ios Kotsogiannis, Yuchao Tao, Xi He, Maryam Fanaeepour, Ashwin Machanavajjhala, Michael Hay +1 more
2019· article· en· Proceedings of the VLDB Endowment· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
108
citations
afffundunlabeled
Federated Learning and Differential Privacy for Medical Image Analysis
Mohammed Adnan, Shivam Kalra, Jesse C. Cresswell, Graham W. Taylor, Hamid R. Tizhoosh
2021· preprint· en· Research Square· Computer Science
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+research_integrityconsensus · open_science
104
citations
affunlabeled
Federated Learning for Healthcare Applications
Ahmad Chaddad, Yihang Wu, Christian Desrosiers
2023· article· en· IEEE Internet of Things Journal· Computer Science
distilled prediction:candidate · open_scienceconsensus · none
103
citations
afffundunlabeled
Estimating the re-identification risk of clinical data sets
Fida K. Dankar, Khaled El Emam, Angelica Neisa, Tyson Roffey
2012· article· en· BMC Medical Informatics and Decision Making· Computer Science
distilled prediction:candidate · metaresearch+open_scienceconsensus · open_science
102
citations
affunlabeled
Redefining Genomic Privacy: Trust and Empowerment
Yaniv Erlich, James Williams, David Glazer, Kenneth Yocum, Nita A. Farahany, Maynard V. Olson +4 more
2014· article· en· PLoS Biology· Computer Science
distilled prediction:candidate · open_scienceconsensus · open_science
102
citations
affno abstractunlabeled
A Data Privacy Taxonomy
Ken Barker, Mina Askari, Mishtu Banerjee, Kambiz Ghazinour, Brenan Mackas, Maryam Majedi +2 more
2009· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · open_science
102
citations

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