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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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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 3 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
Immunizations and Autism: A Review of the Literature
Asif Doja, Wendy Roberts
2006· review· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Social Sciences
machine prediction:candidate · noneconsensus · none
116
citations
affaboutunlabeled
Barriers to participating in an HIV vaccine trial
Edward J. Mills, Curtis Cooper, Gordon Guyatt, Amy Gilchrist, Beth Rachlis, Chris Sulway +1 more
2004· review· en· AIDS· Social Sciences
machine prediction:candidate · metaresearchconsensus · none
101
citations
affunlabeled
Will Africans take COVID-19 vaccination?
AbdulAzeez Adeyemi Anjorin, Ismail Ayoade Odetokun, Ajibola Ibraheem Abioye, Hager Elnadi, Mfon Valencia Umoren, Bamu F. Damaris +23 more
2021· article· en· PLoS ONE· Social Sciences
machine prediction:candidate · noneconsensus · none
96
citations
affunlabeled
COVID-19 vaccine hesitancy among Ethiopian healthcare workers
Rihanna Mohammed, Teklehaimanot Mezgebe Nguse, Bruck Messele Habte, Atalay Mulu Fentie, Gebremedhin Beedemariam Gebretekle
2021· article· en· PLoS ONE· Social Sciences
machine prediction:candidate · noneconsensus · none
93
citations

How this was built: Screen · Findings · About