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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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Long-Term Effects of COVID-19
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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.

1,934 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.
1,934 works in the cohort · of 4,299,418page 12 of 39

Labels cover 12 of 1,934 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 1,934 of 1,934 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.

affunlabeled
Psychogeriatrics in a world with COVID-19
Mary Sano, Maria I. Lapid, Manabu Ikeda, Raimundo Mateos, Huali Wang, William E. Reichman
2020· editorial· en· International Psychogeriatrics· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
venueno affunlabeled
Neurological Presentations in Patients with COVID-19 in Cytokine Storm
Görkem Tutal Gürsoy, Hatice Yüksel, Inci Mulkem Simsek, Saniye Oral, Fadime Erdogan Kucukdagli, Ayberk Karaman +4 more
2021· article· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Cerebral blood flow in patients recovered from mild COVID‐19
Souvik Sen, Roger Newman‐Norlund, Nicholas Riccardi, Chris Rorden, Sarah Newman‐Norlund, Sara Sayers +2 more
2023· article· en· Journal of Neuroimaging· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
Neurologic Compromise in COVID-19: A Literature Review
Leonardo Jardim Vaz de Mello, Emylle Guimaraes Silva, Gabriel Oliveira Correa Rabelo, Mariana Evaristo Leite, Nathalia Ramos Vieira, Maryam Bahadori +2 more
2020· review· en· Journal of Neurology Research· Medicine
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
COVID-19-associated neurological and psychological manifestations
Jo Ellen Wilson, Deepti Gurdasani, Raimund Helbok, Serefnur Ozturk, Douglas D. Fraser, Saša R. Filipović +8 more
2025· article· en· Nature Reviews Disease Primers· Medicine
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About