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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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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.

153 results · 1 filter active ·
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20012025
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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.
153 works in the cohort · of 4,299,418page 1 of 4

Labels cover 0 of 153 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 153 of 153 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
A survey on deep learning for big data
Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li
2017· article· en· Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
1,216
citations
affno abstractunlabeled
A new distance between two bodies of evidence
Anne-Laure Jousselme, Dominic Grenier, Éloi Bossé
2001· article· en· Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
913
citations
affno abstractunlabeled
A survey on machine learning for data fusion
Tong Meng, Xuyang Jing, Zheng Yan, Witold Pedrycz
2019· article· en· Information Fusion· Computer Science
distilled prediction:candidate · noneconsensus · none
650
citations
affno abstractunlabeled
Deep learning for brain age estimation: A systematic review
M. Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai +4 more
2023· review· en· Information Fusion· Neuroscience
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
134
citations
afffundno abstractunlabeled
Fake news detection: Taxonomy and comparative study
Faramarz Farhangian, Rafael M. O. Cruz, George D. C. Cavalcanti
2023· article· en· Information Fusion· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
69
citations
afffundno abstractunlabeled
Transformers in biosignal analysis: A review
Ayman Anwar, Yassin Khalifa, James L. Coyle, Ervin Sejdić
2024· review· en· Information Fusion· Engineering
distilled prediction:candidate · noneconsensus · none
46
citations

How this was built: Screen · Findings · About