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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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Regulatory Toxicology and Pharmacology
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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

307 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.
307 works in the cohort · of 4,299,418page 3 of 7

Labels cover 0 of 307 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 307 of 307 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.

affno abstractunlabeled
A hard look at FDA’s review of GRAS notices
Ashley Roberts, Lois A. Haighton
2016· review· en· Regulatory Toxicology and Pharmacology· Chemical Engineering
machine prediction:candidate · metaresearchconsensus · none
32
citations
afffundno abstractunlabeled
Biomonitoring equivalents for hexachlorobenzene
Lesa L. Aylward, Sean M. Hays, Michelle Gagné, Andy Nong, Kannan Krishnan
2010· review· en· Regulatory Toxicology and Pharmacology· Environmental Science
machine prediction:candidate · noneconsensus · none
31
citations
afffundno abstractunlabeled
Derivation of Biomonitoring Equivalents for cyfluthrin
Sean M. Hays, Lesa L. Aylward, Michelle Gagné, Kannan Krishnan
2009· article· en· Regulatory Toxicology and Pharmacology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Emerging technologies for food and drug safety
William Slikker, Thalita Antony de Souza Lima, Davide Archella, J Silva, Tara S. Barton‐Maclaren, Li Bo +24 more
2018· article· en· Regulatory Toxicology and Pharmacology· Medicine
machine prediction:candidate · noneconsensus · none
25
citations
affno abstractunlabeled
A new paradigm for regulatory sciences
Gina M. Hilton, Yadvinder Bhuller, John E. Doe, Douglas C. Wolf, A Currie
2023· review· en· Regulatory Toxicology and Pharmacology· Medicine
machine prediction:candidate · metaresearchconsensus · none
24
citations
affunlabeled
Regulatory bioinformatics for food and drug safety
Marion J. Healy, Weida Tong, Stephen M. Ostroff, Hans‐Georg Eichler, Alex Patak, Margaret Neuspiel +2 more
2016· article· en· Regulatory Toxicology and Pharmacology· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
23
citations
afffundunlabeled
Genomics in the land of regulatory science
Weida Tong, Stephen M. Ostroff, Burton W. Blais, Primal Silva, M. Serge Dubuc, Marion J. Healy +1 more
2015· article· en· Regulatory Toxicology and Pharmacology· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
affno abstractunlabeled
A 13-week dietary toxicity study in rats of a Napin-Rich Canola Protein Isolate
Luis A. Mejía, Chandrashekhar K. Korgaonkar, Martin Schweizer, Christopher P. Chengelis, Meliton N. Novilla, Ellen L. Ziemer +3 more
2009· article· en· Regulatory Toxicology and Pharmacology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
21
citations

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