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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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Infection Control and Ventilation
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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.

1,306 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.
1,306 works in the cohort · of 4,299,418page 2 of 27

Labels cover 2 of 1,306 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 1,306 of 1,306 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.

afffundno abstractunlabeled
Use of facemasks during the COVID-19 pandemic
Holger J. Schünemann, Elie A. Akl, Roger Chou, Derek K. Chu, Mark Loeb, Tamara Lotfi +5 more
2020· article· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
86
citations
affunlabeled
SARS-CoV-2 and Risk to Food Safety
Lucia E. Anelich, Ryk Lues, Jeffrey M. Farber, Valeria R. Parreira
2020· review· en· Frontiers in Nutrition· Medicine
machine prediction:candidate · noneconsensus · none
85
citations
fundno affno abstractunlabeled
COVID-19 and mortality in doctors
Karthikeyan P. Iyengar, Pranav Ish, Gaurav Kumar Upadhyaya, Nipun Malhotra, Raju Vaishya, Vijay Kumar Jain
2020· article· en· Diabetes & Metabolic Syndrome Clinical Research & Reviews· Medicine
machine prediction:candidate · noneconsensus · none
82
citations
affno abstractunlabeled
Dental procedure aerosols and COVID-19
Joel B. Epstein, Kenneth Chow, Richard Mathias
2020· article· en· The Lancet Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
80
citations
affunlabeled
Guidelines: Anaesthesia in the context of COVID-19 pandemic
Lionel Velly, Étienne Gayat, Hervé Quintard, Emmanuel Weiss, Audrey De Jong, Philippe Cuvillon +53 more
2020· article· en· Anaesthesia Critical Care & Pain Medicine· Medicine
machine prediction:candidate · noneconsensus · none
78
citations
affno abstractunlabeled
UV Disinfection Robots: A Review
Ishaan Mehta, Hao-Ya Hsueh, Sharareh Taghipour, Wenbin Li, Sajad Saeedi
2022· review· en· Robotics and Autonomous Systems· Medicine
machine prediction:candidate · noneconsensus · none
76
citations

How this was built: Screen · Findings · About