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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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Vaccine Coverage and Hesitancy
Retraction
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Label agreement
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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.

3,295 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.
3,295 works in the cohort · of 4,299,418page 43 of 66

Labels cover 28 of 3,295 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 3,295 of 3,295 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.

affvenueunlabeled
Vaccine hesitancy in the office: what can I do?
Jennifer Sharpe Potter, Adrienne J. Lindblad
2021· article· en· Canadian Family Physician· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Digital transformation and the Immunization agenda 2030
Mickey Chopra, Christopher Wolff, Zulfiqar A Bhutta, Francesco Checchi, Mira Johri, Barni Nor +2 more
2025· article· en· Bulletin of the World Health Organization· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
#alleyesonwetsuweten
2022· article· en· The Oriental (University of Naples - L'Orientale)· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
venueno affunlabeled
When to Schedule Your Next COVID-19 Vaccine
Hinpetch Daungsupawong, Viroj Wiwanitkit
2024· letter· en· The Journal of Rheumatology· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Forming trust with vaccine fence-sitters
Lauren Vogel
2016· article· en· Canadian Medical Association Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Amazon health: An international priority
Igor Cavallini Johansen, Emilio F. Morán
2023· article· en· International Health Trends and Perspectives· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About