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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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Patient-Provider Communication in Healthcare
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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.

2,296 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.
2,296 works in the cohort · of 4,299,418page 33 of 46

Labels cover 24 of 2,296 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 2,296 of 2,296 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 affunlabeled
How to break bad news?: Systematic Review
Sam Hajialiloo Sami, Azra Izanloo, Amir Mohamad Arefpour, Masoud Mirkazemi
2018· article· en· The Cancer Press· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
[no title]
Eddy Lang, Neil R. Bell, James A. Dickinson, Roland Grad, Danielle Kasperavicius, Ainsley Moore +4 more
2018· article· fr· PubMed· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
venueno affunlabeled
The ethical implications of patient rewards
Barry Schwartz
2006· article· en· Journal of The Canadian Dental Association· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affno abstractunlabeled
The Metis project—education for health: a project report
Paulo Santos, Ana Correia Oliveira, Daniel Beirão, Carlos Franclim, Marta Magalhães, Luciana Couto +2 more
2020· article· en· Universal Access in the Information Society· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Perspectives on consent
John E. Gray
2012· letter· en· Canadian Medical Association Journal· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
Editorial
Jonathan Tritter
2014· editorial· es· Health Expectations· Health Professions
machine prediction:candidate · insufficient_payloadconsensus · none
2
citations
affunlabeled
Unsolicited E-mails to Forensic Psychiatrists.
Susan Hatters Friedman, Jacob M. Appel, Peter Ash, Richard L. Frierson, Deborah Giorgi-Guarnieri, Richard Martínez +4 more
2016· article· en· PubMed· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Is Seeing Believing?
Michael Brundage
2010· letter· en· Journal of Clinical Oncology· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Differences That Matter: In-Clinic Communication Challenges
Fateme Rajabiyazdi, Charles Périn, Jo Vermeulen, Haley MacLeod, Diane Gromala, Sheelagh Carpendale
2017· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Patient reported experience in a radiation oncology department
Demetra Yannitsos, Petra Grendarova, Abdulla Al‐Rashdan, Linda R. Watson, Wendy Smith, F. Lochray +2 more
2022· article· en· Patient Experience Journal· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
venueno affno abstractunlabeled
Are We Ready for Prescriptive Authority?
Jeffrey G. Taylor, Larry D. Lynd
2004· article· en· Canadian Pharmacists Journal / Revue des Pharmaciens du Canada· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Patient preference elicitation empowerment
Mandana Omidbakhsh, Thiruvengadam Radhakrishnan, Sudhir P. Mudur
2010· article· en· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
It frightens me. It's personal. Hurry.
Gerald F. Humphreys
2000· article· en· Cancer· Health Professions
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About