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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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Aluminum toxicity and tolerance in plants and animals
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.

367 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
367 works in the cohort · of 4,299,418page 6 of 8

Labels cover 2 of 367 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 367 of 367 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.

affvenueunlabeled
Human Health Effects of Dietary Aluminum
K. Landry
2014· article· en· Revue interdisciplinaire des sciences de la santé - Interdisciplinary Journal of Health Sciences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Impact of welding occupation on serum aluminium level and its association with physical health, cognitive function, and quality of life: a cross-sectional study
Ogochukwu Kelechi Onyeso, Arinze Kingsley Ugwu, Henrietha C. Adandom, Suha Damag, Kelechi Mirabel Onyeso, James Okechukwu Abugu +4 more
2023· article· en· International Archives of Occupational and Environmental Health· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Aluminum
Don A. Doutre, Anne Kvithyld
2024· book-chapter· en· Elsevier eBooks· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Evolution of cross-tolerance to metals in yeast
Anna Bazzicalupo, Penelope C. Kahn, Eully Ao, Sarah P. Otto
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Breeding oat for aluminum tolerance
Elmar Luíz Floss
2004· article· en· Jukuri (Natural Resources Institute Finland (Luke))· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractgemma · research_integritygpt · research_integritymodels agree
Retraction Notice to “Subcutaneous injections of aluminum at vaccine adjuvant levels activate innate immune genes in mouse brain that are homologous with biomarkers of autism” [Journal of Inorganic Biochemistry 177 (2017) 39–54]
Dan Li, Lucija Tomljenovic, Yongling Li, Christopher A. Shaw
2017· retraction· en· Journal of Inorganic Biochemistry· Agricultural and Biological Sciences
machine prediction:candidate · research_integrityconsensus · none
1
citations

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