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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.

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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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Arsenic contamination and mitigation
Retraction
Abstract
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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.

1,221 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.
1,221 works in the cohort · of 4,299,418page 22 of 25

Labels cover 1 of 1,221 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 1,221 of 1,221 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.

afffundvenueunlabeled
Biological removal of nitrate with arsenic adsorption
Jordan J. Schmidt, Graham A. Gagnon
2014· article· en· Journal of Environmental Engineering and Science· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affaboutno abstractunlabeled
Arsenic in Yellowknife, North West Territories, Canada
Walter Cullen, Elena Polishchuk, Kenneth J. Reimer, Yongmei Sun, Lixia Wang, Vivian Lai
2003· book-chapter· en· Elsevier eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Marshall Nirenberg 1927–2010
Adil J. Nazarali
2011· article· en· Cellular and Molecular Neurobiology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
NLPModels.jl
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Alfa Laval AB, Sweden
2016· article· en· Pump Industry Analyst· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
ARSENIC BIOMONITORING IN RURAL NOVA SCOTIA, CANADA
David J. McIver, John VanLeeuwen, Kathryn Cull, Aimee Adams, Judith Read Guernsey, John Murimboh +3 more
2011· article· en· ISEE Conference Abstracts· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
The Atlin Claim
2011· article· en· Open Collections· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Sorption Concentration of Arsenic Ions by Magnetite
Damir Afgatovich Kharlyamov, Pavel Andreevich Katasonov, Gennady Vitalievich Mavrin, Irina Yakovlevna Sippel, Munir N. Miftahov
2014· article· en· Modern Applied Science· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Arsenic and Selenium Efflux from Human Red Blood Cells
Serena Li, Saad Nizamani, Raiyana Islam, Angela Casini, Elaine M. Leslie
2024· article· en· Journal of Pharmacology and Experimental Therapeutics· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About