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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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Clinical practice guidelines implementation
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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
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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.

2,993 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.
2,993 works in the cohort · of 4,299,418page 54 of 60

Labels cover 42 of 2,993 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 2,993 of 2,993 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.

affunlabeled
Workshop (Clinical/Best Practice Implementation) ID 1985360
B. Catharine Craven, Anita Kaiser, Hope Jervis-Rademeyer, Wendy Murphy, Lynn Boag, Masae Miyatani +1 more
2023· article· en· Topics in Spinal Cord Injury Rehabilitation· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Point de vue du rédacteur
James P. Waddell
2007· article· fr· PubMed Central· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
UOJM: Preface
Colin Suen, Loretta Cheung
2014· article· en· University of Ottawa Journal of Medicine· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Clinical Q&A
Judith Carrier, Jon Brassey
2007· article· en· Practice Nursing· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
DOP 2015 Conference: Your thoughts in print…
Ryan Offutt, Heike Gras, Anna Viragos, Tatiana Gulko, Maya Mistry, Helen Hughes +2 more
2015· article· en· OP Matters· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Ik heb nu de blik van de patiënt
Nanon Labrie
2020· article· nl· Data Archiving and Networked Services (DANS)· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Not So Sweet
Amber Smith, Beth Quatrara, Kimberly Miller, Wendy M. Novicoff, Nicholas Calabrese
2022· article· en· Orthopaedic Nursing· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Managing expenses with budgeting.
Darren Osborne
2013· article· en· PubMed· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
In memoriam: Dr Richard J. Deckelbaum (1942–2024)
Henry Ginsberg, Chuchun L. Chang, James M. Ntambi, Yaakov Henkin, Alan R. Tall
2025· article· en· Journal of Lipid Research· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Funding model for stem cell transplant.
Julia Monakova, Huma Tariq, Sherrie Hertz, Tom Kouroukis, Irene Blais
2017· article· en· Journal of Clinical Oncology· Medicine
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
The Next Half of the Battle
Patrice V. Sminkey
2012· article· en· Professional Case Management· Medicine
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About