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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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Business and Economic Development
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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.

332 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.
332 works in the cohort · of 4,299,418page 2 of 7

Labels cover 1 of 332 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 332 of 332 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.

venueno affunlabeled
Modeling the Risks of the Global Customs Space
Olha Borysenko, Olena Vasyl’yeva, Оlga Katerna, Ю. В. Масюк, Oleg Panakhi
2022· article· en· Journal of risk and financial management· Environmental Science
machine prediction:candidate · noneconsensus · none
9
citations
venueno affunlabeled
Factors affecting employees’ motivation
Doan Hong Le, Perfecto G. Aquino, Revenio C. Jalagat, Nguyen Thanh Truc, Le Khac Quang, Le Thi Hoang My
2020· article· en· Management Science Letters· Environmental Science
machine prediction:candidate · noneconsensus · none
7
citations
affvenueunlabeled
Corporate Governance: A scientometric analysis
Maliheh Alsadat Kermanian, Soltanali Rafiei, Hamed Keyvanfar, Soheil Sadi‐Nezhad
2019· article· en· Accounting· Environmental Science
machine prediction:candidate · bibliometricsconsensus · none
6
citations

How this was built: Screen · Findings · About