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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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Occupational Health and Safety Research
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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
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.

2,761 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.
2,761 works in the cohort · of 4,299,418page 15 of 56

Labels cover 8 of 2,761 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 2,761 of 2,761 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.

affunlabeled
Injury Rate as an Indicator of Business Success
Theresa Holizki, L. L. Nelson, R. Christopher McDonald
2006· article· en· Industrial Health· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
afffundno abstractunlabeled
Visual perception of fatigued lifting actions
Steven L. Fischer, Wayne J. Albert, Tim McGarry
2012· article· en· Human Movement Science· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
affaboutunlabeled
Wood Dust Levels in Alberta Sawmills
Michael W. Yamanaka, Tee L. Guidotti, Niels Koehncke, F. Maurice Taylor, Chris Taylor, Lloyd Harman
2009· article· en· Archives of Environmental & Occupational Health· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
2011 William P. Yant Award Lecture
Trevor Ogden, Jérôme Lavoué
2012· article· en· Journal of Occupational and Environmental Hygiene· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Promoting Health in the Construction Industry?
Catherine Pritchard, Ann Marie McCarthy
2002· article· en· Journal of Occupational and Environmental Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Preventive behaviour at work of vocational students
Alexandra Lecours, Pierre-Yves Thérriault
2017· article· en· Journal of Vocational Education and Training· Health Professions
machine prediction:candidate · noneconsensus · none
10
citations
venueaboutno affunlabeled
The Validity of Alberta Safety Statistics
Bob Barnetson
2012· article· en· Just Labour· Health Professions
machine prediction:candidate · metaresearchconsensus · none
10
citations

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