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

1,205 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.
1,205 works in the cohort · of 4,299,418page 14 of 25

Labels cover 6 of 1,205 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 1,205 of 1,205 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 affunlabeled
Editorial
Stefania Boccia, Roberta Pastorino
2022· article· en· Riviste UNIMI (Università degli studi di Milano)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Editorial: Women in nutrition and brain health
Eef Hogervorst, Crystal F. Haskell‐Ramsay, Nafisa M. Jadavji
2023· editorial· en· Frontiers in Nutrition· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Bringing European physiologists together
Peter Bie, Ralf P. Brandes, Susan A. Deuchars, David Eisner, Joachim Fandrey, Michael Hecker +3 more
2018· editorial· en· Acta Physiologica· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Book Reviews
Andy Scarsbrook, Quint JK, E Hindley
2018· article· en· British Journal of Hospital Medicine· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Never too local for science advice
Rémi Quirion
2024· article· en· Nature Cities· Environmental Science
machine prediction:candidate · stsconsensus · none
0
citations
affvenueaboutunlabeled
Obituary of Theodore L. Sourkes, PhD, FRSC, OC
Simon N. Young, Maryka Quik, Guillermina Almazán, Marc Ekker
2015· article· en· Journal of Psychiatry and Neuroscience· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Standardization in Cohort Studies
Stephen C. Newman
2023· book-chapter· en· Epidemiologic Methods· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on amt-2022-278
Mrinmoy Chakraborty, Amanda Giang, Naomi Zimmerman
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Evaluating the harmonisation potential of diverse cohort datasets
Sarah Bauermeister, Mukta Phatak, Kelly Sparks, Lana Sargent, Michael Griswold, Caitlin McHugh +8 more
2022· preprint· en· Research Square· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Protect AD: Realizing New Clinical Trial Possibilities
Clive Ballard, Ellie Pickering, Abbie Palmer, Millie Sander, Anne Corbett
2025· article· en· Alzheimer s & Dementia· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
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