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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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American Journal of Industrial Medicine
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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
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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.

335 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.
335 works in the cohort · of 4,299,418page 4 of 7

Labels cover 1 of 335 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 335 of 335 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.

afffundaboutunlabeled
Older farmers and machinery exposure—cause for concern?
Don Voaklander, Lesley Day, James A. Dosman, Louise Hagel, William Pickett
2012· article· en· American Journal of Industrial Medicine· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affaboutunlabeled
An investigation of noise levels in Alberta sawmills
Niels Koehncke, M. M. Taylor, Chris Taylor, Lloyd Harman, Patrick A. Hessel, Paul Beaulne +1 more
2003· article· en· American Journal of Industrial Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Dupuytren's contracture and handwork: A case‐control study
A. T. Haines, Carolyn Lévis, Charles H. Goldsmith, Manraj Kaur, Eric Duku, Richard Wells +6 more
2017· article· en· American Journal of Industrial Medicine· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
Vibration exposure and disease in a shipyard: A 13‐year revisit
Martin G. Cherniack, Timothy F. Morse, Anthony J. Brammer, Ronnie Lundström, John D. Meyer, Tohr Nilsson +6 more
2004· article· en· American Journal of Industrial Medicine· Medicine
machine prediction:candidate · noneconsensus · none
16
citations
afffundaboutunlabeled
Estimating occupational exposure to carcinogens in Quebec
France Labrèche, Patrice Duguay, Claude Ostiguy, Alexandre Boucher, Brigitte Roberge, Cheryl Peters +1 more
2013· article· en· American Journal of Industrial Medicine· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affaboutunlabeled
Excess of symptoms among radiographers
Helen Dimich‐Ward, Michelle Lee Wymer, Susan Kennedy, Kay Teschke, Roxanne Rousseau, Moira Chan‐Yeung
2003· article· en· American Journal of Industrial Medicine· Environmental Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
A research impact model for work and health
Dwayne Van Eerd, Cindy Moser, Ron Saunders
2020· article· en· American Journal of Industrial Medicine· Health Professions
machine prediction:candidate · metaresearchconsensus · none
14
citations

How this was built: Screen · Findings · About