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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
fundfunder
venuejournal
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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
Evidence
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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 4 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
A living WHO guideline on drugs to prevent covid-19
François Lamontagne, Miriam Stegemann, Arnav Agarwal, Thomas Agoritsas, Reed Siemieniuk, Bram Rochwerg +63 more
2021· article· en· BMJ· Medicine
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
150
citations
affunlabeled
Favipiravir, an antiviral for COVID-19?
Eric A. Coomes, Hourmazd Haghbayan
2020· article· en· Journal of Antimicrobial Chemotherapy· Medicine
distilled prediction:candidate · noneconsensus · none
138
citations
affunlabeled
Immune response in COVID-19: what is next?
Qing Li, Ying Wang, Qiang Sun, Jasmin Knopf, Martin Herrmann, Liangyu Lin +21 more
2022· review· en· Cell Death and Differentiation· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
137
citations
afffundunlabeled
Coronavirus disease (COVID-19): a scoping review
Meng Lv, Xufei Luo, Janne Estill, Yunlan Liu, Mengjuan Ren, Jianjian Wang +15 more
2020· review· en· Eurosurveillance· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · none
135
citations
affunlabeled
Tocilizumab in Hospitalized Patients With COVID-19 Pneumonia
Iván O. Rosas, Norbert Bräu, Michael R. Waters, Ronaldo C. Go, Bradley D. Hunter, Sanjay Bhagani +17 more
2020· preprint· en· medRxiv· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrowconsensus · none
132
citations
aboutno affunlabeled
Severe Acute Respiratory Syndrome in Children
Lauren J. Stockman, Mehran S. Massoudi, Rita F. Helfand, Dean D. Erdman, Alison M. Siwek, Larry J. Anderson +1 more
2006· review· en· The Pediatric Infectious Disease Journal· Medicine
distilled prediction:candidate · metaresearch+metaepi_narrow+research_integrityconsensus · none
125
citations
affunlabeled
Guidelines for the pharmacological treatment of COVID-19. The task force/consensus guideline of the Brazilian Association of Intensive Care Medicine, the Brazilian Society of Infectious Diseases and the Brazilian Society of Pulmonology and Tisiology
Maicon Falavigna, Verônica Colpani, Cinara Stein, Luciano César Pontes Azevedo, Ângela Maria Bagattini, Gabriela Vilela de Brito +21 more
2020· article· en· Revista Brasileira de Terapia Intensiva· Medicine
distilled prediction:candidate · metaresearch+stsconsensus · none
120
citations

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