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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.

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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.

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 39 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.

affno abstractunlabeled
Prise de décision du travailleur : un guide pour les professionnels
Monica Chiarini Tremblay, Suzanne K. Bédard, Nathalie Bourdeau, Chantal Caux, Alice Turcot
2020· article· fr· Archives des maladies professionnelles et de médecine du travail/Archives des maladies professionnelles et de l'environnement· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Adapting to change in complex work environments
John R. Hajdukiewicz
2000· article· en· CHI '00 extended abstracts on Human factors in computer systems - CHI '00· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Red flags on SMS
Mark Lacagnina
2009· article· en· AeroSafety world./AeroSafety world· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Women and Death in a Mining Community
Georgina Murray, David Peetz
2009· article· en· Griffith Research Online (Griffith University, Queensland, Australia)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
SECURITY - THE CANADIAN APPROACH
H Branch
2004· article· en· Airports international· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
I am a truck driver's underarm
Christina Foisy
2013· article· en· Canadian women's studies· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Surrogate safety measures and traffic conflict observations.
András Várhelyi, Aliaksei Laureshyn, Carl Johnsson, Nicolas Saunier, Richard van der Horst, M. de Goede +1 more
2018· article· en· Lund University Publications (Lund University)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/ou69hV9
2000· article· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Esso Australia 2013 SAFE themes
Craig J. Pearson, David Robinson
2014· article· en· The APPEA Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About