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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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SARS-CoV-2 and COVID-19 Research
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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
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aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,166 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.
4,166 works in the cohort · of 4,299,418page 9 of 84

Labels cover 17 of 4,166 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 4,166 of 4,166 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
Modelling vaccination strategies for COVID-19
Caroline E. Wagner, Chadi M. Saad-Roy, Bryan T. Grenfell
2022· review· en· Nature reviews. Immunology· Medicine
machine prediction:candidate · noneconsensus · none
80
citations
aboutno affunlabeled
Documenting the SARS epidemic in mainland China
Sake J. de Vlas, Wu‐Chun Cao, Jan Hendrik Richardus
2009· editorial· en· Tropical Medicine & International Health· Medicine
machine prediction:candidate · noneconsensus · none
80
citations
afffundaboutunlabeled
Covid-19 vaccine immunogenicity in people living with HIV-1
Lauriane Nault, Lorie Marchitto, Guillaume Goyette, Daniel Tremblay-Sher, Claude Fortin, Valérie Martel‐Laferrière +6 more
2022· article· en· Vaccine· Medicine
machine prediction:candidate · noneconsensus · none
78
citations
afffundno abstractunlabeled
Importance of COVID-19 vaccine efficacy in older age groups
Manish Sadarangani, Bahaa Abu Raya, Jessica M. Conway, Sarafa A. Iyaniwura, Rebeca Cardim Falcão, Caroline Colijn +2 more
2021· article· en· Vaccine· Medicine
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
The coronavirus recombination pathway
Heather Wells, Cassandra M. Bonavita, Isamara Navarrete‐Macias, Blake Vilchez, Angela L. Rasmussen, Simon J. Anthony
2023· review· en· Cell Host & Microbe· Medicine
machine prediction:candidate · noneconsensus · none
72
citations
affunlabeled
The find of COVID-19 vaccine: Challenges and opportunities
Marwan ElBagoury, Mahmoud M. Tolba, Hebatallah A. Nasser, Abdul Jabbar, Ahmed Taha Ayoub, Yahia Aktham +1 more
2020· review· en· Journal of Infection and Public Health· Medicine
machine prediction:candidate · noneconsensus · none
71
citations

How this was built: Screen · Findings · About