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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.

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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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Economic, Social, and Public Health Issues in Russia and Globally
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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.

69 results · 1 filter active ·
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20022025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
69 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 69 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 69 of 69 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
Trauma Societies and their Characteristics
Zhan Toshchenko
2020· article· en· HUMANITIES OF THE SOUTH OF RUSSIA· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
The Main African Studies Think Tank in Russia
I. O. Abramova
2019· article· en· Journal of the Institute for African Studies· Decision Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Credit Risk Prediction to Individuals
Lyudmila Vyacheslavovna Efimenko, Tatyana Shindina, Elena Vasilevna Tabakova, Alexandra Vitalevna Gavrilova
2016· article· en· The Journal of Internet Banking and Commerce· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
PREFACE
2022· article· en· IOP Conference Series Earth and Environmental Science· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
Commerce
Geneviève Dufour, Valériane Thool
2023· article· fr· Canadian Yearbook of international Law/Annuaire canadien de droit international· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The Specificity of Innovative Activity in a Vertically Integrated Oil Companies
Елена Александровна Шишкина, Sergey V. Kiselev, Guzyal M. Kharisova, Natalia M. Chikisheva, Irina Y. Litvin, Larisa Fatikhova +1 more
2015· article· en· Journal of Sustainable Development· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Deposits of Population in the Republic of Kazakhstan
Gulnar Abdrakhmanova, Nursulu Alashbayeva, Arailym Orazgaliyeva, Aizhan Dairabayeva, Aigul Kombarova
2016· article· en· The Journal of Internet Banking and Commerce· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About