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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 diagnosis using AI
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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
aboutaboutness

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

1,016 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.
1,016 works in the cohort · of 4,299,418page 14 of 21

Labels cover 5 of 1,016 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 1,016 of 1,016 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
SARS CoV 2 Evolution Manuscript Processed Files and Code
Julian Willett, Annie Gravel, Isabelle Dubuc, Leslie Gudimard, Paul R. Fortin, Inés Colmegna +6 more
2024· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
1
citations
venueno affunlabeled
with ChatGPT
David Szanto
2024· article· en· Canadian Food Studies / La Revue canadienne des études sur l alimentation· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
afffundvenueunlabeled
Why Can’t Neural Networks Forecast Pandemics Better
Joshua D. Zelek, John Zelek, Alexander Wong
2021· article· en· Journal of Computational Vision and Imaging Systems· Medicine
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Introducing JMIR AI
Khaled El Emam, Bradley Malin
2022· editorial· en· JMIR AI· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
1
citations
affunlabeled
Medical decision support system using weakly-labeled lung CT scans
Alejandro Murillo-González, David González, Laura Jaramillo, Carlos Galeano, Fabby Tavera, Marcia Mejía +14 more
2022· article· en· Frontiers in Medical Technology· Medicine
distilled prediction:candidate · metaepi_narrow+research_integrity+insufficient_payloadconsensus · none
1
citations
affunlabeled
Telemedicine and Digital Public Health in Pandemic Times
Philip Eappen, Tosin Dotun Olujinmi
2022· book-chapter· en· Advances in healthcare information systems and administration book series· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations

How this was built: Screen · Findings · About