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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 13 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.

fundno affno abstractunlabeled
Machine Intelligence and Emerging Technologies
Md. Shahriare Satu, Mohammad Ali Moni, M. Shamim Kaiser, Mohammad Shamsul Arefin
2023· book· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Medicine
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
AI-Enabled Health 4.0: An IoT-Based COVID-19 Diagnosis Use-Case
Xiaoyu Song, Wei Pan, Ismaeel Al Ridhawi, Ali Abbas, Safa Otoum
2022· article· en· GLOBECOM 2022 - 2022 IEEE Global Communications Conference· Medicine
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
1
citations
affunlabeled
A classification problem
Alessandro Sebastianelli, Maria Pia Del Rosso, Chiara Zarro, Diego Di Martire, Mariano Di Napoli, Dario Spiller +4 more
2021· book-chapter· en· IET eBooks· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Data used in Serrano Damha et al. (2024)
Camilo Serrano Damha
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Medicine
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
1
citations
fundno affunlabeled
PopulAtion Parameter Averaging (PAPA)
Alexia Jolicoeur‐Martineau, Emy Gervais, Kilian Fatras, Yan Zhang, Simon Lacoste-Julien
2023· preprint· en· arXiv (Cornell University)· Medicine
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations

How this was built: Screen · Findings · About