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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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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.

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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 1 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.

fundno affunlabeled
Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017
Jeffrey D Stanaway, Ashkan Afshin, Emmanuela Gakidou, Stephen S Lim, Degu Abate, Kalkidan Hassen Abate +1020 more
2018· article· en· The Lancet· Environmental Science
machine prediction:candidate · noneconsensus · none
5,028
citations
fundno affno abstractunlabeled
Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013
Mohammad H. Forouzanfar, Lily Alexander, H Ross Anderson, Victoria F Bachman, Stan Biryukov, Michael Bräuer +706 more
2015· article· en· The Lancet· Environmental Science
machine prediction:candidate · noneconsensus · none
2,747
citations
affunlabeled
Brain charts for the human lifespan
Richard A. I. Bethlehem, Jakob Seidlitz, Simon R. White, Jacob W. Vogel, Karen Anderson, Chris Adamson +196 more
2022· article· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
1,787
citations
affno abstractunlabeled
Sex differences in Alzheimer disease — the gateway to precision medicine
Maria Teresa Ferretti, M. Florencia Iulita, Enrica Cavedo, Patrizia A. Chiesa, Annemarie Schumacher Dimech, Antonella Santuccione Chadha +6 more
2018· review· en· Nature Reviews Neurology· Environmental Science
machine prediction:candidate · noneconsensus · none
1,000
citations
affunlabeled
The Tohoku Medical Megabank Project: Design and Mission
Shinichi Kuriyama, Nobuo Yaegashi, Fuji Nagami, Tomohiko Arai, Yoshio Kawaguchi, Noriko Osumi +50 more
2016· article· en· Journal of Epidemiology· Environmental Science
machine prediction:candidate · noneconsensus · none
380
citations
aboutno affunlabeled
Cohort Profile Update: The HUNT Study, Norway
Bjørn Olav Åsvold, Arnulf Langhammer, Tommy Aune Rehn, Grete Kjelvik, Trond Viggo Grøntvedt, Elin Pettersen Sørgjerd +15 more
2022· article· en· International Journal of Epidemiology· Environmental Science
machine prediction:candidate · noneconsensus · none
361
citations
afffundunlabeled
T3DB: the toxic exposome database
David S. Wishart, David Arndt, Allison Pon, Tanvir Sajed, An Chi Guo, Yannick Djoumbou-Feunang +7 more
2014· article· en· Nucleic Acids Research· Environmental Science
machine prediction:candidate · noneconsensus · none
332
citations
afffundunlabeled
Population neuroscience: Why and how
Tomáš Paus
2010· review· en· Human Brain Mapping· Environmental Science
machine prediction:candidate · noneconsensus · none
156
citations
affunlabeled
New Models for Large Prospective Studies: Is There a Better Way?
Teri A. Manolio, Brenda K. Weis, Catherine C. Cowie, Robert N. Hoover, Kathy Hudson, Barnett S. Kramer +17 more
2012· article· en· American Journal of Epidemiology· Environmental Science
machine prediction:candidate · metaresearchconsensus · metaresearch
143
citations
affunlabeled
Making Prospective Registration of Observational Research a Reality
Rafael Dal‐Ré, John P. A. Ioannidis, Michael B. Bracken, Patricia A. Buffler, An‐Wen Chan, Eduardo L. Franco +2 more
2014· article· en· Science Translational Medicine· Environmental Science
machine prediction:candidate · metaresearchconsensus · metaresearch
127
citations
affunlabeled
Challenges in IBD Research: Environmental Triggers
Shuk‐Mei Ho, James D. Lewis, Emeran A. Mayer, Çharles N. Bernstein, Scott E. Plevy, Emil Chuang +14 more
2019· review· en· Inflammatory Bowel Diseases· Environmental Science
machine prediction:candidate · noneconsensus · none
93
citations

How this was built: Screen · Findings · About