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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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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
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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.

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 1 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
Infectious disease in an era of global change
Rachel E. Baker, Ayesha S. Mahmud, Ian Miller, Malavika Rajeev, Fidisoa Rasambainarivo, Benjamin L. Rice +6 more
2021· review· en· Nature Reviews Microbiology· Mathematics
machine prediction:candidate · noneconsensus · none
1,978
citations
affno abstractunlabeled
COVID-19: towards controlling of a pandemic
Juliet Bedford, Delia Enría, Johan Giesecke, Chikwe Ihekweazu, Gary Kobinger, H. Clifford Lane +6 more
2020· article· en· The Lancet· Mathematics
machine prediction:candidate · noneconsensus · none
1,646
citations
affunlabeled
Perspectives on the basic reproductive ratio
Jane M. Heffernan, Robert J. Smith, Lindi M. Wahl
2005· review· en· Journal of The Royal Society Interface· Mathematics
machine prediction:candidate · noneconsensus · none
1,279
citations
fundno affunlabeled
SARS-CoV-2 (COVID-19) by the numbers
Yinon M. Bar‐On, Avi I. Flamholz, Rob Phillips, Ron Milo
2020· article· en· eLife· Mathematics
machine prediction:candidate · noneconsensus · none
1,058
citations
fundno affunlabeled
Global age-sex-specific mortality, life expectancy, and population estimates in 204 countries and territories and 811 subnational locations, 1950–2021, and the impact of the COVID-19 pandemic: a comprehensive demographic analysis for the Global Burden of Disease Study 2021
Masayuki Teramoto, Hmwe Hmwe Kyu, Amirali Aali, Cristiana Abbafati, Jaffar Abbas, Rouzbeh Abbasgholizadeh +1803 more
2024· article· en· The Lancet· Mathematics
machine prediction:candidate · noneconsensus · none
958
citations
fundno affno abstractunlabeled
Statistical physics of vaccination
2016· article· en· Physics Reports· Mathematics
machine prediction:candidate · noneconsensus · none
858
citations
afffundno abstractunlabeled
Network theory and SARS: predicting outbreak diversity
Lauren Ancel Meyers, Babak Pourbohloul, M. E. J. Newman, Danuta M. Skowronski, Robert C. Brunham
2004· article· en· Journal of Theoretical Biology· Mathematics
machine prediction:candidate · noneconsensus · none
736
citations
fundno affno abstractunlabeled
COVID-19 Government Response Event Dataset (CoronaNet v.1.0)
Cindy Cheng, Joan Barceló, Allison Spencer Hartnett, Robert Kubinec, Luca Messerschmidt
2020· article· en· Nature Human Behaviour· Mathematics
machine prediction:candidate · noneconsensus · none
479
citations
afffundunlabeled
The emergence of SARS-CoV-2 in Europe and North America
Michael Worobey, Jonathan E. Pekar, Brendan B. Larsen, Martha I. Nelson, Verity Hill, Jeffrey B. Joy +4 more
2020· article· en· Science· Mathematics
machine prediction:candidate · noneconsensus · none
427
citations
affaboutunlabeled
Modelling strategies for controlling SARS outbreaks
Abba B. Gumel, Shigui Ruan, Troy Day, James Watmough, Fred Brauer, P. van den Driessche +5 more
2004· article· en· Proceedings of the Royal Society B Biological Sciences· Mathematics
machine prediction:candidate · noneconsensus · none
408
citations
affunlabeled
Seasonality of Infectious Diseases
David N. Fisman
2007· review· en· Annual Review of Public Health· Mathematics
machine prediction:candidate · noneconsensus · none
384
citations
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