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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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Plastic & Reconstructive Surgery Global Open
Topic
Retraction
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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.

508 results · 1 filter active ·
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20132025
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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.
508 works in the cohort · of 4,299,418page 2 of 11

Labels cover 2 of 508 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 508 of 508 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
Pseudoangiomatous Stromal Hyperplasia
Mélissa Roy, James Lee, Salah Aldekhayel, Tassos Dionisopoulos
2015· article· en· Plastic & Reconstructive Surgery Global Open· Medicine
machine prediction:candidate · noneconsensus · none
22
citations
aboutno affunlabeled
How to Treat a Tongue-tie: An Evidence-based Algorithm of Care
Rohil Shekher, Lawrence Lin, Rosaline Zhang, Ian C. Hoppe, Jesse A. Taylor, Scott P. Bartlett +1 more
2021· article· en· Plastic & Reconstructive Surgery Global Open· Health Professions
machine prediction:candidate · noneconsensus · none
21
citations
affunlabeled
Satisfaction following Unilateral Breast Reconstruction
Jonathan A. Schwitzer, Helen C. Miller, Andrea L. Pusic, Evan Matros, Babak J. Mehrara, Colleen M. McCarthy +3 more
2015· article· en· Plastic & Reconstructive Surgery Global Open· Medicine
machine prediction:candidate · noneconsensus · none
20
citations
aboutno affunlabeled
Mitigation of Postsurgical Scars Using Lasers: A Review
Ofir Artzi, Or Friedman, Firas Al‐Niaimi, Yoram Wolf, Joseph N. Mehrabi
2020· review· en· Plastic & Reconstructive Surgery Global Open· Medicine
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
Delphi Study Consensus Recommendations
Per Hedén, Mitchell H. Brown, Jie Luan, G. Patrick Maxwell, Alexandre Mendonça Munhoz, Mollie Carter
2015· article· en· Plastic & Reconstructive Surgery Global Open· Medicine
machine prediction:candidate · metaresearchconsensus · none
17
citations
affunlabeled
Avoiding Facial Incisions with Midface Free Tissue Transfer
Mark W. Stalder, Michael Sosin, Leo Urbinelli, James L. Mayo, Amir H. Dorafshar, Hugo St. Hilaire +2 more
2017· article· en· Plastic & Reconstructive Surgery Global Open· Medicine
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About