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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
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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
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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 58 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.

venueno affno abstractunlabeled
10.1016/b978-0-7020-7279-6.00036-3
2000· book-chapter· en· Time to knit· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
D
2015· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Vaccine Attitudes in USA , Canada, UK
2022· article· en· OSF Preprints (OSF Preprints)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Public opinion on global rollout of COVID-19 vaccines
Philip Clarke, Laurence Roope, Peter John Loewen, Jean‐François Bonnefon, Alessia Melegaro, Jorge Friedman +3 more
2021· preprint· en· Toulouse 1 Capitole Publications (Université Toulouse I Capitole)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Vaccine safety management: foreign experience
Haodong Cai, Yuqin Wang, Yuzhen Li
2018· article· en· 药物不良反应杂志· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
[no title]
Shixin Shen, Vinita Dubey
2019· article· fr· PubMed· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Modelling Therapeutic Vaccines
Elaheh Abdollahi, Affan Shoukat, Seyed M. Moghadas
2020· book-chapter· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Misleading Public Statements About COVID-19
Carolyn C. Meltzer, Richard H. Wiggins, Mahmud Mossa‐Basha, Susan Palasis, Eric Russell, David J. Mikulis +14 more
2021· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CARDIOVASCULAR MEDICINE
2016· article· en· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About