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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
Retraction
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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.

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 10 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.

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
fundno affunlabeled
Crop productivity and adaptation to climate change in Pakistan
Ashley Gorst, Ben Groom, Ali Dehlavi
2015· preprint· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
9
citations
afffundunlabeled
The chaos in calibrating crop models
Daniel Wallach, Taru Palosuo, Peter J. Thorburn, Zvi Hochman, Emmanuelle Gourdain, Fety Nambinina Andrianasolo +53 more
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · metaresearchconsensus · none
8
citations
affunlabeled
Weather effects on maize yields in northern China
Baojing Sun, G. Cornelis van Kooten
2013· article· en· The Journal of Agricultural Science· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About