MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Topic
Agricultural Development and Policies
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.

106 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
106 works in the cohort · of 4,299,418page 2 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
Improving the efficiency of agro-industrial production in the North Caucasus Federal District based on the use of the experience of state regulation of modern innovative technologies of the agricultural sphere in foreign countries
Карина Михайловна Балиянц, Сергей Владимирович Дохолян, Казбек Керимович Курбанов, П М Камалова
2021· article· ru· Экономика и предпринимательство· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Ecology, weather conditions and food prices in 2022
Oleg S. Sobolev
2023· article· en· Economy of agricultural and processing enterprises· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Analysis of trends in world grain production
Sergey Shirokov, Alfiya Kuznetsova, I.R. Trushkina
2024· article· en· Mezhdunarodnyi sel skokhozyaistvennyi zhurnal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
2020· article· en· IOP Conference Series Earth and Environmental Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Changes in international trade in exotic tropical fruit
Nikolay G. Platonovskiy, Tatiana Ostapchuk, Rafail R. Mukhametzyanov, Alexander Shuldyakov, Abdurahman Gamidov
2024· article· en· Mezhdunarodnyi sel skokhozyaistvennyi zhurnal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
State Policy on Ensuring Food Security in Conditions of Foreign Trade Restrictions
Александр Борисович Мельников, Vladimir I. Trysyachny, Aleksandr Dmitrievich Kotenev, Georgiy Markovich Mishulin, Petr N. Shirov, Boris Aleksandrovich Melnikov
2018· article· en· Journal of Politics and Law· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Priorities of National Food Security Policy in the Russian Federation
Tatiana Viktorovna Barkhatova, Alexander B. Melnikov, Vladimir I. Trysyachny, А. Д. Котенев, Petr N. Shirov, Vladimir A. Molodykh
2018· article· en· Journal of Politics and Law· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Формирование системы и построение структуры органов государственного управления агропромышленным комплексом Российской Федерации — России во втором квартале 1992 года
М. В. Бражник
2013· article· ru· Проблемы современной экономики· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
FOOD SYSTEM RUSSIA: QUARTER OF A CENTURY OF TRANSFORMATION
Kireeva N.A
2014· article· ru· Международный научно-исследовательский журнал· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Аграрная политика России и направления ее модернизации в условиях продовольственного эмбарго
Слепнева Людмила Романовна
2015· article· ru· Вестник Бурятского государственного университета. Педагогика. Филология. Философия· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
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
International Students and Mental Health
2025· article· en· SOURCE Sheridan's Institutional Repository (Sheridan College)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About