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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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Heavy Metal Exposure and Toxicity
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.

1,108 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.
1,108 works in the cohort · of 4,299,418page 6 of 23

Labels cover 3 of 1,108 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 1,108 of 1,108 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affaboutunlabeled
Heavy metal contamination of prenatal vitamins
Gerry Schwalfenberg, Ilia Rodushkin, Stephen J. Genuis
2018· article· en· Toxicology Reports· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
41
citations
fundno affunlabeled
Mortality experience of male workers at a UK tin smelter
K. Binks, Richard Doll, Michael Gillies, Christopher Holroyd, S. R. Jones, D McGeoghegan +3 more
2005· article· en· Occupational Medicine· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
40
citations
afffundno abstractunlabeled
MRI pallidal signal in children exposed to manganese in drinking water
Laurie‐Anne Dion, Maryse F. Bouchard, Sébastien Sauvé, Benoît Barbeau, Alan Tucholka, Philipe Major +3 more
2016· article· en· NeuroToxicology· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
38
citations
affaboutunlabeled
Is lead a concern in Canadian autistic children?
Brenda Clark, Ben Vandermeer, Antonio Simonetti, Irena Buka
2010· article· en· Paediatrics & Child Health· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
37
citations
afffundno abstractunlabeled
Lead in candy consumed and blood lead levels of children living in Mexico City
Marcela Tamayo‐Ortiz, Martha María Téllez‐Rojo, Howard Hu, Mauricio Hernández‐Ávila, Robert O. Wright, Chitra Amarasiriwardena +4 more
2016· article· en· Environmental Research· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
36
citations
affunlabeled
Biomarkers for occupational manganese exposure
Nataliya A. Karyakina, Natalia S. Shilnikova, N. Farhat, Siva Ramoju, Brandon Cline, Franco Momoli +4 more
2022· review· en· Critical Reviews in Toxicology· Environmental Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
36
citations
aboutno affunlabeled
Workplace Lead Exposure
Michael Holland, David Cawthon
2016· article· en· Journal of Occupational and Environmental Medicine· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
35
citations

How this was built: Screen · Findings · About