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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 11 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.

afffundunlabeled
Omicron variants of SARS-CoV-2 and long COVID
Chengliang Yang, Hedi Zhao, Casey P. Shannon, Scott J. Tebbutt
2022· article· en· Frontiers in Immunology· Medicine
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Isfahan COVID cohort study
Nizal Sarrafzadegan, Noushin Mohammadifard, Shaghayegh Haghjooy Javanmard, Fahimeh Haghighatdoost, Fatemeh Nouri, Mahshid Ahmadian +13 more
2022· article· en· Journal of Research in Medical Sciences· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Which outcomes are most important to measure in patients with COVID-19 and how and when should these be measured? Development of an international standard set of outcomes measures for clinical use in patients with COVID-19: a report of the International Consortium for Health Outcomes Measurement (ICHOM) COVID-19 Working Group
William Seligman, Luz Sousa Fialho, Nick Sillett, Christina Nielsen, Farhala Baloch, Philip Collis +21 more
2021· review· en· BMJ Open· Medicine
machine prediction:candidate · metaresearchconsensus · metaresearch
14
citations
venueno affunlabeled
COVID-19 Associated Central Nervous System Vasculopathy
Ana Raquel Matos, Miguel Quintas-Neves, Luís Dias, Sofia Marques, Raquel Carvalho, José Matías Alves
2020· letter· en· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Is long COVID an autoimmune disease?
Don D. Sin
2023· letter· en· European Respiratory Journal· Medicine
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Association of pediatric COVID‐19 and subarachnoid hemorrhage
Sedigheh Basirjafari, Masoumeh Rafiee, Babak Shahhosseini, Mehdi Mohammadi, Saeideh Aghayari Sheikh Neshin, Mohammad Zarei
2020· letter· en· Journal of Medical Virology· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Neurologic manifestations of COVID-19
Amado Jiménez‐Ruiz, Miguel García‐Grimshaw, José Luis Ruíz‐Sandoval
2020· article· fr· Gaceta Médica de México· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
affvenueunlabeled
The Impact of the Covid-19 Pandemic on Stroke Volume
Christopher R. Pasarikovski, Leodante da Costa
2020· article· fr· Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques· Medicine
machine prediction:candidate · noneconsensus · none
13
citations
afffundno abstractunlabeled
A glimpse into long COVID and symptoms
Chengliang Yang, Hedi Zhao, Scott J. Tebbutt
2022· letter· en· The Lancet Respiratory Medicine· Medicine
machine prediction:candidate · noneconsensus · none
13
citations

How this was built: Screen · Findings · About