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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.

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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 Healthcare and Medical Tourism
Retraction
Abstract
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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.

557 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.
557 works in the cohort · of 4,299,418page 4 of 12

Labels cover 5 of 557 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 557 of 557 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.

venueno affno abstractunlabeled
Geographies of Primary Health Care
Gavin J. Andrews, Valorie A. Crooks
2010· article· en· Aporia· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Health Geography
Robin Kearns, Damian Collins
2009· other· en· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Of space and time, of health care and health
Leslíe L. Roos, Noralou P. Roos
2001· article· en· Journal of Health Services Research & Policy· Health Professions
machine prediction:candidate · noneconsensus · none
6
citations
venueaboutno affno abstractunlabeled
Challenges for the future of eye care in Canada
Duncan Anderson
2003· editorial· en· Canadian Journal of Ophthalmology· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
affvenueno abstractunlabeled
Birth Tourism – An Opinion
Jon Barrett
2023· editorial· en· Journal of Obstetrics and Gynaecology Canada· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
A complication of cosmetic medical tourism
Guy Feraru, Tamar Koren, Bibiana Chazan, Michael Ziv, Marina Landau, Roni P. Dodiuk‐Gad
2024· article· en· JAAD Case Reports· Health Professions
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affno abstractunlabeled
Canadian Print News Media Coverage of Medical Tourism
Valorie A. Crooks, Jeremy Snyder, Leigh Turner, Krystyna Adams, Rory Johnston, Victoria Casey
2013· book-chapter· en· Oxford University Press eBooks· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Medical tourism: Medical dream or nightmare?
Indrajit Banerjee, Jared Robinson, Kritika Dev, Ashok Pratap Singh
2024· article· en· Journal of Advances in Internal Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
The virus of consumerism
Gina Feldberg, Robert C. Vipond
2005· book-chapter· en· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
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How this was built: Screen · Findings · About