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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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Fluoride Effects and Removal
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
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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.

341 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.
341 works in the cohort · of 4,299,418page 2 of 7

Labels cover 1 of 341 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 341 of 341 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 affno abstractunlabeled
Dietary contaminants and oxidative stress in Inuit of Nunavik
Marie–Claire Bélanger, Éric Dewailly, Line Berthiaume, Micheline Noël, Jean Bergeron, Marc-Édouard Mirault +1 more
2006· article· en· Metabolism· Environmental Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Fluoride and Mineralized Tissues
Debbie Chachra, Anya P. G. F. Vieira, Marc D. Grynpas
2008· review· en· Critical Reviews in Biomedical Engineering· Environmental Science
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Assessment of teeth as biomarkers for skeletal fluoride exposure
Anya P. G. F. Vieira, M. Mousny, Rúbson Pinheiro Maia, R. G. V. Hancock, Eric T. Everett, Marc D. Grynpas
2005· article· en· Osteoporosis International· Environmental Science
machine prediction:candidate · noneconsensus · none
30
citations
fundno affno abstractunlabeled
Zeolite synthesis and its application in water defluorination
Rita Namoe Tabi, Frank Ofori Agyemang, Kwadwo Mensah‐Darkwa, Emmanuel Kwesi Arthur, Emmanuel Gikunoo, Francis W.Y. Momade
2021· article· en· Materials Chemistry and Physics· Environmental Science
machine prediction:candidate · noneconsensus · none
29
citations
afffundno abstractunlabeled
A visual analog scale for measuring dental fluorosis severity
Anya P. G. F. Vieira, Herenia P. Lawrence, Hardy Limeback, Marc D. Grynpas
2005· article· en· The Journal of the American Dental Association· Environmental Science
machine prediction:candidate · noneconsensus · none
27
citations
aboutno affunlabeled
Maternal Urinary Fluoride and Child Neurobehavior at Age 36 Months
Ashley J. Malin, Sandrah P. Eckel, Howard Hu, E. Angeles Martínez‐Mier, Ixel Hernandez‐Castro, Tingyu Yang +4 more
2024· article· en· JAMA Network Open· Environmental Science
machine prediction:candidate · noneconsensus · none
25
citations

How this was built: Screen · Findings · About