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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 Clinical Research Studies
Retraction
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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
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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.

2,625 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.
2,625 works in the cohort · of 4,299,418page 11 of 53

Labels cover 25 of 2,625 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 2,625 of 2,625 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.

affaboutunlabeled
Infections by Human Coronavirus-NL in Hospitalized Children
Guy Boivin, Mariana Baz, Rodica Gilca, Céline Deffrasnes, ric Leblanc, Michel G. Bergeron +2 more
2005· article· en· The Pediatric Infectious Disease Journal· Medicine
machine prediction:candidate · noneconsensus · none
39
citations
affunlabeled
Dietary Recommendations During the COVID-19 Pandemic
Christianne de Faria Coelho‐Ravagnani, Flávia Campos Corgosinho, Fabiane La Flor Ziegler Sanches, Carla M. Prado, Alessandro Laviano, João Felipe Mota
2020· article· en· Kompass Nutrition & Dietetics· Medicine
machine prediction:candidate · noneconsensus · none
37
citations
fundno affunlabeled
Lung Neutrophilic Recruitment and IL-8/IL-17A Tissue Expression in COVID-19
Marina Luise Viola de Azevedo, Aline Cristina Zanchettin, Caroline Busatta Vaz de Paula, Jarbas da Silva Motta, Mineia Alessandra Scaranello Malaquias, Sônia Mara Raboni +10 more
2021· article· en· Frontiers in Immunology· Medicine
machine prediction:candidate · noneconsensus · none
36
citations
afffundunlabeled
Good Cholesterol Gone Bad? HDL and COVID-19
George Eduardo Gabriel Kluck, Jeong‐Ah Yoo, Emmanuel H. Sakarya, Bernardo L. Trigatti
2021· review· en· International Journal of Molecular Sciences· Medicine
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
Heparin for Moderately Ill Patients with Covid-19
Michelle Sholzberg, Grace H. Tang, Hassan Rahhal, Musaad AlHamzah, Lisa Baumann Kreuziger, Fionnuala Ní Áinle +34 more
2021· preprint· en· medRxiv· Medicine
machine prediction:candidate · noneconsensus · none
35
citations
affunlabeled
Asthma and COVID-19: What do we know now
Alexzandra Hughes-Visentin, Anthea B. Mahesan Paul
2020· review· en· Clinical Medicine Insights Circulatory Respiratory and Pulmonary Medicine· Medicine
machine prediction:candidate · noneconsensus · none
35
citations

How this was built: Screen · Findings · About