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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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Climate change impacts on agriculture
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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
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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.

934 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.
934 works in the cohort · of 4,299,418page 9 of 19

Labels cover 1 of 934 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 934 of 934 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.

fundno affunlabeled
Impact of rainfall onset date on crops yield in Ghana
Naomi Kumi, Tolulope E. Adeliyi, Vincent Antwi Asante, Babatunde J. Abiodun, Benjamin Lamptey
2023· article· en· Frontiers in Sustainable Food Systems· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
12
citations
venueno affunlabeled
Approaches to assess land degradation risk: a synthesis
Jennifer von Keyserlingk, Annegret H. Thieken, Eva Nora Paton
2023· article· en· Ecology and Society· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Multi-model evaluation of phenology prediction for wheat in Australia
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, Zvi Hochman, Fety Nambinina Andrianasolo, Senthold Asseng +46 more
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
11
citations
afffundaboutunlabeled
Agricultural adaptation to climate change in the news
Ellen Wall, Barry Smit
2006· article· en· International Journal of Sustainable Development· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Evolutionary rescue during extreme drought
Daniel N. Anstett, Julia Anstett, Seema N. Sheth, Dylan R. Moxley, Mojtaba Jahani, Kaichi Huang +5 more
2024· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
A new index assessing adaptive capacity across Africa
Terence Épule Épule, Vincent Poirier, Abdelghani Chehbouni, Wiam Salih, Ayoub Kechchour, Perez Lionnel Kemeni Kambiet +2 more
2023· article· en· Environmental Science & Policy· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About