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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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Agricultural Development and Policies
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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.

106 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.
106 works in the cohort · of 4,299,418page 1 of 3

Labels cover 0 of 106 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 106 of 106 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
The Downsizing of Russian Agriculture1
Grigory Ioffe
2005· article· en· Europe Asia Studies· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
24
citations
aboutno affunlabeled
Analysis of world trends in soybean production
Elena Volkova, Natalia Smolyaninova
2024· article· en· BIO Web of Conferences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
13
citations
aboutno affunlabeled
Trump, Migration, and Agriculture
Philip Martin
2019· article· en· BORDER CROSSING· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Territorial Prospects for Growing Lentils
A. K. Mamakhai, M G Zagoruiko
2022· article· en· IOP Conference Series Earth and Environmental Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
INVESTING IN INNOVATION PROJECTS IN RUSSIAâ²S AGRIFOOD COMPLEX
Tatiana Ivanovna Gulyayeva, Т. М. Кузнецова, Julia Vladimirovna Gnezdova, Mikhail Yakovlevich Veselovsky, Nabi Dalgatovich Avarskii
2016· article· en· The Journal of Internet Banking and Commerce· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Retrospective Result Analysis of Land Reforms in the Russian Federation
Damir Kutliyarov, Ivan Stafiychuk, Amir Kutliyarov, Rail Khisamov, Alfiya Lukmanova
2022· article· en· International Journal of Sustainable Development and Planning· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundno affunlabeled
Preface
2023· article· en· BIO Web of Conferences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
DIGITAL TECHNOLOGY DEVELOPMENT TRENDS IN AGRICULTURE
Andrei Vladimirovich Minakov, Ильнур Сафиуллин, Valerikovna Mikhaylova, Галина Захарова, Nail Asadullin
2024· article· en· Vestnik of Kazan state agrarin university· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
Efficient Use of Agricultural Production Resource Potential: Theory and Practice
Г. У. Акимбекова, Faya Shulenbayeva, Gulsim Aitkhozhayeva, С. Т. Жумашева, Yury Khan, Marziya Daniyarova
2025· article· International Journal of Sustainable Development and Planning· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Оценка Уровня Поддержки Сельского Хозяйства и Разработка Механизмов Синхронизации Федеральной и Региональных Аграрных Политик в Условиях Членства России в ВТО (Assessment of the Assistance Level of Agriculture and Development of Mechanisms for Syncronization of Federal and Regional Agrarian Policies in the Wake of Russia's Membership in WTO
Natalia Shagaida, Vasily Uzun, Ekaterina Gataulinа, Renata Yanbykh
2015· preprint· ru· RePEc: Research Papers in Economics· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Opportunities for agricultural industry in Russia
Г.А. Иовлев, Victor Pobedinsky, Vladimir Zorkov, T.B. Popova, И. И. Голдина
2021· article· en· E3S Web of Conferences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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