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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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Workplace Violence and Bullying
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
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.

1,014 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.
1,014 works in the cohort · of 4,299,418page 13 of 21

Labels cover 4 of 1,014 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 1,014 of 1,014 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.

venueno affunlabeled
Workplace violence: A call for action
Bunnany Chhun Pekar, Gordon Lee Gillespie
2013· article· en· Journal of Hospital Administration· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Violence in the Workplace
Judy MacIntosh, Marilyn Noble
2014· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Verbal abuse facing Saudi nurses during internship program
Maram Banakhar, Maha Ahmed Alzahrani, Amani Omar Essa, Asal Fathi Al-dhahry, Rahma Farooq Batwa, Renan Suliman Salem
2021· article· en· Journal of Nursing Education and Practice· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
A study on academic integrity in dental education
Hee-Kyung Kim, Ji‐Hyun Lee, Sung Hun Kim, Jeong-Hwa Baek, Jung-Suk Han, In‐Chul Rhyu
2017· article· en· The Journal of The Korean Dental Association· Social Sciences
machine prediction:candidate · research_integrityconsensus · none
1
citations

How this was built: Screen · Findings · About