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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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COVID-19 epidemiological studies
Retraction
Abstract
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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.

3,341 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.
3,341 works in the cohort · of 4,299,418page 52 of 67

Labels cover 12 of 3,341 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 3,341 of 3,341 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
Understanding and Controlling Pandemics
David M. Patrick, Ashley Larnder
2024· book· en· World Scientific series in global healthcare economics and public policy· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
An Overview Of Critically Important Concepts In Infection Controls
Menwer Mohsen Mubarak Alfahmi, Saad Saud Alyazidi, Abdulkarim Jamaan Albijali, Abdallah Ebrahim Ateeh Allah Alzahrani, Mohammed Hamid Ali Sulaimani, Waleed Mohammed Dakhilallah Almalki +4 more
2023· article· en· Journal of Survey in Fisheries Sciences· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
P1-S4.19 Stochastic network models
Patricia Noël, Antoine Allard, Laurent Hébert‐Dufresne, Vincent Marceau, Louis J. Dubé
2011· article· en· Sexually Transmitted Infections· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ancient Methods for a Modern Pandemic
Robert Huish
2024· book-chapter· en· Global perspectives on health geography· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
GMT file for Canis familiaris pathways
2024· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Work-related and personal predictors of Covid-19 transmission
Paul Anand, Heidi Allen, Robert L. Ferrer, Natalie Gold, Rolando Gonzales Martínez, Evangelos Kontopantelis +2 more
2020· article· en· London School of Economics and Political Science Research Online (London School of Economics and Political Science)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Travel Cadence and Epidemic Spread
Lauren Streitmatter, Peter Zhang
2021· article· en· 2021 Winter Simulation Conference (WSC)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Executive Summary
2023· book-chapter· en· United Nations eBooks· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Acknowledgements
2022· book-chapter· en· Statistical standards and studies· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About