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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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Canadian Journal of General Internal Medicine
Topic
Retraction
Abstract
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Label agreement
Label status

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.

500 results · 1 filter active ·
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20122025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
500 works in the cohort · of 4,299,418page 5 of 10

Labels cover 0 of 500 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 500 of 500 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.

affvenueunlabeled
Rumpel-Leede Phenomenon: A Case Report
MBBS Rehman HU, J Kambo
2014· article· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Planifier pour l’avenir
Mitchell Levine
2017· article· fr· Canadian Journal of General Internal Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
afffundvenueunlabeled
Refractory Hypercalcemia in a Jamaican Woman
Amaris Balitsky MSc, Jonathan So
2016· article· en· Canadian Journal of General Internal Medicine· Immunology and Microbiology
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Ethylene Glycol Intoxication
MBBCh G R Sun, Mark Yarema
2016· article· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Visiting Loved Ones In the Era of COVID-19
Zainab Al Duhailib, Roman Jaeschke
2020· article· en· Canadian Journal of General Internal Medicine· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Resident Duty Hours: A Review
Lindsay Melvin, Sophie Corriveau, Aiman Alak, Ameen Patel
2014· review· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Septic Embolization in Lemierre’s Syndrome
Daniel Esau, Harpinder Nagi
2019· article· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Acute Care SINS: Surgical Insights for the Non-surgeon
Aaron Robichaud, David B. Clarke MDCM, Cian O′Kelly, Martin Beed, Peter G. Brindley
2015· article· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
The role of alexithymia in attachment and binge eating
Sahar Iqbal, Fotini Zachariades, Nicole Obeid, Rosanne Jansman
2024· article· en· Canadian Journal of General Internal Medicine· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Cramps and The Casual Consultation
Hector M Baillie
2020· article· en· Canadian Journal of General Internal Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About