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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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Vaccine Coverage and Hesitancy
Retraction
Abstract
Evidence source
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.

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 59 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.

affno abstractunlabeled
Vaccines in Pregnancy
Michael S. Kramer
2021· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
From Science to Scandal
Alexandra Gagnon
2023· article· en· Crossing Borders Student Reflections on Global Social Issues· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On Designs for Vaccine Surveillance
Robert W. Platt
2016· letter· en· Drug Safety· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Gestion des produits immunisants
Roxane Therrien, Jean‐François Bussières
2003· article· fr· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Vaccine Hesitancy: A Self-Inflicted Wound
Francis Fernandes
2022· article· en· University of Waterloo Journal of Undergraduate Health Research· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Relations
Yelena Zavalishina
2023· article· en· Canadian Family Physician· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Definitions of variables used.
2025· article· Figshare· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Sarah Gilbert
Gurleen Bhogal, Aaron Wen
2022· article· en· The Meducator· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueno abstractunlabeled
Factors associated with COVID-19 vaccination in young children
Xuedi Li, Charles Keown‐Stoneman, Laura N. Anderson, Kate Allan, Barbara Fallon, Janet Parsons +2 more
2023· article· en· Canadian Journal of Public Health· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About