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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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COVID-19 and healthcare impacts
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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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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.

2,192 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.
2,192 works in the cohort · of 4,299,418page 36 of 44

Labels cover 8 of 2,192 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 2,192 of 2,192 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.

affno abstractunlabeled
Response
Katarzyna M. Pawlak, Aline Charabaty, Rishad Khan, Keith Siau
2020· letter· en· Gastrointestinal Endoscopy· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reflecting Back—Moving Forward
Jane Glaze
2020· article· en· Journal of the Dermatology Nurses’ Association· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
A Letter from The Editor (November 2023)
Robert Piercey
2023· letter· en· Philosophy in Review· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
1727P COVID-19 pandemic: Impact on doctors in training
Ambar Farooq, Sana Iqbal, Nora Abdul Aziz, A. Amasayb, Tim O’Brien, E. Maher +4 more
2020· article· en· Annals of Oncology· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
afffundno abstractunlabeled
Reply to Lund et al.
Dalia Barayan, Fadi Khalaf, Carly M. Knuth, Abdikarim Abdullahi, Sarah Rehou, Robert A. Screaton +1 more
2023· letter· en· American Journal of Physiology-Endocrinology and Metabolism· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mobility Clinic COVID-19 Pandemic Patient Outreach Program
James Milligan, Ruchi Parikh, Lindsay Beuermann, Daniel S. Labach, Craig Bauman, Lissa Kuzych
2021· article· en· Archives of Physical Medicine and Rehabilitation· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Spotlight in Plastic Surgery: April 2020
Brett T. Phillips, Alicia Billington, Aakanksha Goel, Vimal J. Gokani, Casey T. Kraft, Mohamad Rachadian Ramadan +5 more
2020· article· en· Plastic & Reconstructive Surgery· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Achieving a Smoke-Free Operating Room
Andrea Dyer, J.F. Wade
2021· article· en· Journal of Pediatric Surgical Nursing· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Covid Cancer
Paul T E Cusack
2022· article· en· Journal of Cancer Therapy and Research· Medicine
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About