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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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HIV/AIDS Impact and Responses
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.

535 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.
535 works in the cohort · of 4,299,418page 10 of 11

Labels cover 0 of 535 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 535 of 535 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
Bioboard
2009· article· en· Asia-Pacific Biotech News· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Illiteracy – fighting the hidden epidemic
Richard B. Goldbloom
2002· article· en· Paediatrics & Child Health· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
HIV in Madagascar: Cause for Alarm
Snyders Jessico Betombo, Mitsou Raharivelo, Andrew D. Walsh
2025· article· en· Anthropologica· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
by
2002· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueunlabeled
Discoursing Health Literacies for HIV/AIDS Education
Hembadoon Iyortyer Oguanobi
2018· article· en· Education Journal - Revue de l éducation· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
HIV/AIDS AWARENESS
Jamal Abdul Nasir, Muhammad Imran, Syed Arif Ahmed Zaidi, Najeeb Ur Rehman, Fiaz Ahmad
2015· article· en· The Professional Medical Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About