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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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보건교육·건강증진학회지
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Retraction
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Study design
Label agreement
Label status

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.

6 results · 1 filter active ·
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20082015
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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.
6 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 6 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 6 of 6 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.

aboutno affunlabeled
건강증진 연구의 방향과 과제
김광기, 제갈정, 함승우, 안지영
2012· article· ko· 보건교육·건강증진학회지· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
국제화와 보건교육사의 활동영역
남은우, 천성수
2010· article· ko· 보건교육·건강증진학회지· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
보건교육사 제도정립의 방향
김광기, 김건엽, 김영복, 김혜경, 박경옥, 박천만 +1 more
2008· article· ko· 보건교육·건강증진학회지· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About