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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 and healthcare impacts
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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.

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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.

2,192 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.
2,192 works in the cohort · of 4,299,418page 1 of 44

Labels cover 8 of 2,192 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 2,192 of 2,192 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.

fundno affunlabeled
Global incidence, prevalence, years lived with disability (YLDs), disability-adjusted life-years (DALYs), and healthy life expectancy (HALE) for 371 diseases and injuries in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
Masayuki Teramoto, Damian Santomauro, Amirali Aali, Yohannes Abate, Cristiana Abbafati, Hedayat Abbastabar +1306 more
2024· article· en· The Lancet· Medicine
machine prediction:candidate · noneconsensus · none
4,439
citations
afffundunlabeled
The State of US Health, 1990-2016
Ali H. Mokdad, Katherine Ballestros, Michelle Echko, Scott Glenn, Helen Elizabeth Olsen, Erin C Mullany +108 more
2018· article· en· JAMA· Medicine
machine prediction:candidate · noneconsensus · none
1,447
citations
affunlabeled
Economic Burden of COVID-19: A Systematic Review
F Richards, Petya Kodjamanova, Xue Chen, Nicole Li, Petar Atanasov, Liga Bennetts +6 more
2022· review· en· ClinicoEconomics and Outcomes Research· Medicine
machine prediction:candidate · noneconsensus · none
195
citations
affno abstractunlabeled
The impact of COVID-19 on research
Luke Harper, Nicolas Kalfa, Goedele M.A. Beckers, Martin Kaefer, Anka Nieuwhof-Leppink, Magdalena Fossum +2 more
2020· review· en· Journal of Pediatric Urology· Medicine
machine prediction:candidate · metaresearchconsensus · none
195
citations
affunlabeled
International Impact of COVID-19 on the Diagnosis of Heart Disease
Andrew J. Einstein, Leslee J. Shaw, Cole B. Hirschfeld, Michelle A. Williams, Todd C. Villines, Nathan Better +25 more
2021· article· en· Journal of the American College of Cardiology· Medicine
machine prediction:candidate · noneconsensus · none
194
citations
affunlabeled
COVID-19 and primary care in six countries
Patricia Huston, John Campbell, Grant Russell, Felicity Goodyear‐Smith, Robert L. Phillips, Chris van Weel +1 more
2020· article· en· BJGP Open· Medicine
machine prediction:candidate · noneconsensus · none
175
citations
fundno affno abstractunlabeled
Impact of COVID-19 on cancer care in India: a cohort study
Priya Ranganathan, Manju Sengar, Girish Chinnaswamy, Gaurav Agrawal, Rajkumar Arumugham, Rajiv Bhatt +38 more
2021· article· en· The Lancet Oncology· Medicine
machine prediction:candidate · noneconsensus · none
164
citations
affno abstractunlabeled
Impact of COVID-19 on nursing time in intensive care units in Belgium
Arnaud Bruyneel, Maria Cecília Bueno Jayme Gallani, Jérôme Tack, Alain D’hondt, Sebastien Canipel, Stéphane Franck +1 more
2020· article· en· Intensive and Critical Care Nursing· Medicine
machine prediction:candidate · noneconsensus · none
156
citations
fundno affunlabeled
Global Impact of COVID-19 on Stroke Care and IV Thrombolysis
Raul G. Nogueira, Muhammad M. Qureshi, Mohamad Abdalkader, Sheila Cristina Ouriques Martins, Hiroshi Yamagami, Zhongming Qiu +451 more
2021· article· en· Neurology· Medicine
machine prediction:candidate · noneconsensus · none
154
citations

How this was built: Screen · Findings · About