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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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Travel-related health issues
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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.

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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.

766 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.
766 works in the cohort · of 4,299,418page 15 of 16

Labels cover 2 of 766 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 766 of 766 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.

affno abstractunlabeled
In Memoriam, Bernard Duval (1949 – 2008)
Gaston De Serres, Joanne M. Langley
2009· article· en· Human Vaccines· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Emergency medicine on the high seas
Dennis Djogovic
2003· article· en· Canadian Journal of Emergency Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Response to Letter to the Editor
Amanda Bolderston, Karen Yendley, C. H. McGregor, Anthony Slowey, Sharan Manship
2017· letter· en· Journal of medical imaging and radiation sciences· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Influenza-Like Illness in Travelers to the Developing World
Stuart Wood, Kalyani Telu, David R. Tribble, Anuradha Ganesan, Anjali Kunz, Mary Fairchok +6 more
2016· article· en· Open Forum Infectious Diseases· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
News
Donald Kaye
2010· article· en· Clinical Infectious Diseases· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Response to Letter:
Elizabeth A. Talbot, Lin H. Chen, Christopher Sanford, Anne McCarthy, Karin Leder
2011· article· en· Journal of Travel Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.1016/j.cfp.2005.07.001
Deepak Kamat, Ambika Mathur
2000· article· en· Time to knit· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Traveling with IBD
Ing Shian Soon, Gilaad G. Kaplan
2011· other· en· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Travel-Related Illnesses and Conditions
Danielle Grenier, A-M Ugnat, Roderick Skinner, Melanie Laffin Thibodeau
2009· article· en· Paediatrics & Child Health· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
2009–2011
2016· article· en· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Médecine des voyages
Brian Aw, Suni Boraston, David Botten, Darin Cherniwchan, Hyder Fazal, Timothy Kelton +4 more
2014· article· fr· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About