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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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Advanced Decision-Making Techniques
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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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

137 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.
137 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 137 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 137 of 137 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.

affunlabeled
Robustness Analysis of Two-Dimensional Networks
Mustafa Berber, Peter Dare, Petr Vaníček
2006· article· en· Journal of Surveying Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
venueno affunlabeled
Application and Extension of Bayes Formula
Wang Jian-xin
2024· article· en· Journal of Electronics and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Comparisons and Assessment of Forest Fire Danger Systems
TianXiao-rui, DouglasJMcrae, DenBoychu, JinJi-zhong, GaoCheng-da, ShuLi-fu +1 more
2005· article· en· 中国林学:英文版· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Basics
William W. Hsieh
2023· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About