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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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Relevé des maladies transmissibles au Canada
Topic
Retraction
Abstract
Evidence source
Study design
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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
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

372 results · 1 filter active ·
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20102025
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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.
372 works in the cohort · of 4,299,418page 1 of 8

Labels cover 2 of 372 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 372 of 372 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.

venueaboutno affno abstractunlabeled
La tuberculose au Canada, 2016
Julie Vachon, V Gallant, Winnie Siu
2018· article· fr· Relevé des maladies transmissibles au Canada· Medicine
machine prediction:candidate · noneconsensus · none
7
citations
afffundvenueaboutno abstractunlabeled
La tuberculose au Canada : 2017
Marie LaFreniere, Hamidah Hussain, Ning He, M McGuire
2019· article· fr· Relevé des maladies transmissibles au Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
Évaluation de l’impact de divers niveaux de détection des cas et de recherche des contacts sur la transmission de la COVID-19 au Canada pendant la levée des fermetures imposées à l’aide d’un modèle à compartiments dynamique
Antoinette Ludwig, Philippe Berthiaume, Heather Orpana, Claude Nadeau, Maikol Diasparra, Joel Barnes +3 more
2020· article· fr· Relevé des maladies transmissibles au Canada· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affvenueaboutunlabeled
Rapport national de mi-saison sur l’influenza, 2020 à 2021
Liza Lee, Kelly Butt, Steven Buckrell, Andrea Nwosu, Claire Sevenhuysen, Christina Bancej
2021· article· fr· Relevé des maladies transmissibles au Canada· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
afffundvenueaboutunlabeled
Hausse des taux de syphilis au Canada, 2011 à 2020
Joséphine Aho, Cassandra Lybeck, Ashorkor Tetteh, Carmen Issa, Fiona G. Kouyoumdjian, Jason P. Wong +2 more
2022· article· fr· Relevé des maladies transmissibles au Canada· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Le VIH au Canada – Rapport de surveillance, 2019
Nisrine Haddad, Ashley Weeks, Anita Robert, Stephanie Totten
2021· article· fr· Relevé des maladies transmissibles au Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
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How this was built: Screen · Findings · About