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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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Agronomic Practices and Intercropping Systems
Retraction
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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.

732 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
732 works in the cohort · of 4,299,418page 1 of 15

Labels cover 0 of 732 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 732 of 732 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
Biodiversity can support a greener revolution in Africa
Sieglinde S. Snapp, Malcolm Blackie, R. Alton Gilbert, Rachel Bezner Kerr, George Kanyama‐Phiri
2010· article· en· Proceedings of the National Academy of Sciences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
386
citations
affunlabeled
Pulse Crop Adaptation in the Northern Great Plains
Perry R. Miller, B.G. McConkey, George W. Clayton, S.A. Brandt, J. A. Staricka, Adrian Johnston +4 more
2002· article· en· Agronomy Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
246
citations
affunlabeled
Increasing crop rotational diversity can enhance cereal yields
Monique E. Smith, Giulia Vico, Alessio Costa, Timothy M. Bowles, Amélie C. M. Gaudin, Sara Hallin +30 more
2023· article· en· Communications Earth & Environment· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
123
citations
afffundaboutunlabeled
Pulse Crops for the Northern Great Plains
Perry R. Miller, Yantai Gan, B.G. McConkey, C. L. McDonald
2003· article· en· Agronomy Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
121
citations
affno abstractunlabeled
Diversifying crop rotation improves system robustness
Junxian Li, Lidong Huang, Jun Zhang, Jeffrey A. Coulter, Lin Li, Yantai Gan
2019· article· en· Agronomy for Sustainable Development· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
119
citations
afffundaboutunlabeled
Weed Suppression by Seven Clover Species
Shirley Ross, J. R. King, R. C. Izaurralde, John O’Donovan
2001· article· en· Agronomy Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
92
citations

How this was built: Screen · Findings · About