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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 32 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. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Consent based privacy for eHealth systems
Ryan Habibi
2018· dissertation· en· UVic’s Research and Learning Repository (University of Victoria)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Climate Smart Village Report: Htee Pu Village, Myanmar
2022· report· en· CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Data Governance Architecture Technologies
Wen Tong, Peiying Zhu
2021· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Privacy-Related Aspects and Techniques
Stan Matwin
2017· book-chapter· en· Encyclopedia of Machine Learning and Data Mining· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Private Federated Framework for Health Data
Tanzir Ul Islam, Noman Mohammed, Dima Alhadidi
2022· article· en· 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
datman
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
SparsyFed: Sparse Adaptive Federated Training
Adriano Guastella, Lorenzo Sani, Alex Iacob, Paolo Bellavista, Nicholas D. Lane
2025· preprint· en· ArXiv.org· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Machine Learning with Privacy
Patrick C. K. Hung, Sarajane Marques Peres
2021· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ethical Challenges Posed by Cluster Randomization
Neil Klar, Allan Donner
2014· other· en· Wiley StatsRef: Statistics Reference Online· Computer Science
machine prediction:candidate · metaresearchconsensus · metaresearch
0
citations

How this was built: Screen · Findings · About