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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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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
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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 36 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.

affaboutunlabeled
Worker’s Compensation Injury and Illness Care: A Global Round Table
Olivia Begasse de Dhaem, Sarah Foster-Chang, B. Chandrashekar, Gleb Chigirinsky, Terrance D’souza, Nehal Mohammed Helmy +6 more
2024· article· en· Workplace Health & Safety· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Musculoskeletal health in the workplace
Joanne Crawford, Danielle Berkovic, Jo Erwin, Sarah Copsey, Alice Davis, Evanthia Giagloglou +4 more
2020· preprint· en· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Human Factors in Large Capital Projects
Daryl Kenefake, Charles W. Vaughan, Larry D. Harms
2009· article· en· International Petroleum Technology Conference· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
venueaboutno affunlabeled
Entrevue guidée avec Karen Messing
Esther Cloutier, Ana-Maria Seifert, Nicole Vézina
2009· article· fr· Perspectives interdisciplinaires sur le travail et la santé· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Accident Investigations and Safety Management
Faisal Khan, Seyed Javad Hashemi
2018· other· en· Encyclopedia of Maritime and Offshore Engineering· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Waking Up to the Challenge of Fatigue Management in Transportation
Christina M. Rudin-Brown, Ashleigh Filtness, Michelle Gauthier, Crystal Kirkley, Daria Luisi, Muataz Jaber +2 more
2023· article· en· Proceedings of the Human Factors and Ergonomics Society Annual Meeting· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
Lombalgies et réadaptation au travail
Jean‐Baptiste Fassier
2005· article· fr· Laennec· Health Professions
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Santé psychologique au travail et Covid-19
Christophe Nguyen, Jean‐Pierre Brun
2021· book-chapter· fr· Manager RH· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
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