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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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Global Health and Epidemiology
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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.

127 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.
127 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 127 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 127 of 127 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.

affunlabeled
CCG Starter Data Kit: Philippines
Lucy Allington, Carla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye +20 more
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CCG Starter Data Kit: Philippines
Lucy Allington, Carla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye +19 more
2022· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CCG Starter Data Kit: Philippines
Lucy Allington, Carla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye +19 more
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
CCG Starter Data Kit: Philippines
Lucy Allington, Carla Cannone, Ioannis Pappis, Karla Cervantes Barron, Will Usher, Steve Pye +19 more
2023· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-2-294-76306-9.50453-1
2000· book-chapter· en· Time to knit· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Prionus Geoffroy 1762
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Irfan Mandozai
Seema Marwaha
2020· article· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Country
2006· article· en· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Access to health care among rural population
Rekharani Sethy, Somanath Sethi, Sujata Sethi, Shree Kumar Chinmayananda Mishra
2022· article· en· International Journal of Health Sciences· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
CanHEAR Uganda Sets Sights on Sustainability
Jean‐Philippe Vaccani, Sophie Heley, Renée Lefrançois, Brain Westerberg
2013· article· en· The Hearing Journal· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About