MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
Canadian Pharmacists Journal / Revue des Pharmaciens du Canada
Topic
Retraction
Abstract
Evidence source
Study design
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.

2,166 results · 1 filter active ·
Results by year
20042025
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.
2,166 works in the cohort · of 4,299,418page 10 of 44

Labels cover 4 of 2,166 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 2,166 of 2,166 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.

fundvenueaboutno affunlabeled
Real-world application of MedsCheck opportunities
Joseph Hanna
2013· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affvenueunlabeled
Partnering to enhance mental health care capacity in communities
Andrea Murphy, David M. Gardner, Ruth Martin‐Misener, Ted D. Naylor, Stan Kutcher
2015· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Psychology
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
Interprofessional student-run primary health care clinics
Anita Elaine Weidmann, Robert Pammett, Eric Landry, Derek Jorgenson
2015· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
venueaboutno affunlabeled
Minor ailments across Canadian jurisdictions
Jennifer Noseworthy, Chris LeBlanc
2013· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
Is the Blueprint Just Old News?
Lisa Zaretzky
2009· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
COVID-19 testing by pharmacists
Ross T. Tsuyuki, Kaitlyn E. Watson
2020· editorial· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
afffundvenueaboutunlabeled
“Clearly they are in the circle of care, but . . .”: A qualitative study exploring perceptions of personal health information sharing with community pharmacists in an integrated care model
Teagan Rolf von den Baumen, Jennifer Lake, Amanda C. Everall, Katie N. Dainty, Zahava R. S. Rosenberg-Yunger, Sara J. T. Guilcher
2020· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
Pharmacy practice publications with impact
Ross T. Tsuyuki, Patricia Chatterley
2016· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · metaresearch+bibliometrics+insufficient_payloadconsensus · none
5
citations
affvenueunlabeled
Review of the top 5 cardiology studies of 2011–12
Arden R. Barry, Rosaleen Boswell, Ernest H. Law, Dylan M. Pollmann, Mohamed A. Omar, Margaret L. Ackman
2013· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
venueaboutno affunlabeled
Drug Shortages — Risk or Reality?
A. Kirsten Woodend, Jeff Poston, Karen Weir
2005· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
Taking primary care pharmacy to the next level
Ross T. Tsuyuki, Kaitlyn E. Watson
2023· editorial· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
affvenueaboutunlabeled
CPhA National Survey
Glen Doucet
2015· article· fr· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Medicine
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
Communicating with physicians
Rosemary Killeen
2007· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
5
citations
venueaboutno affunlabeled
CPhA surveys pharmacists on physician-assisted dying
Gabrielle Berard, Joelle Walker
2016· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations
venueno affno abstractunlabeled
<i>CPJ</i> as an Agent of Change
Ross T. Tsuyuki
2007· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
5
citations

How this was built: Screen · Findings · About