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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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Dental Research and COVID-19
Retraction
Abstract
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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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

609 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.
609 works in the cohort · of 4,299,418page 9 of 13

Labels cover 7 of 609 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 609 of 609 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
Relations between Dentistry and COVID-19 Infections
Mahmoud Abdel Hameed Shahin, Abdulridha Taha Sarhan, Abid Rashid, Muhammad Akram, Umme Laila, Muhammad Talha Khalil +2 more
2023· article· en· Trends journal of sciences research· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
PORCELAIN METAL CERAMIC CROWN VERSUS PORCELAIN VENEER
M. Rafi Ullah Awan, Hira Asghar, Hamid Raza, Faiz Rasul, Muhammad Safdar Baig
2018· article· en· The Professional Medical Journal· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Supplements Materials
Alan Cox
2021· article· en· Zenodo (CERN European Organization for Nuclear Research)· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Author’s response
Ben Balevi
2022· letter· en· The Journal of the American Dental Association· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affvenueaboutunlabeled
CUA-AUA Residents and Fellows Program: New Orleans 2022
Braden Millan, Ahmad Alshammari, Maylynn Ding, TaeWeon Lee
2022· article· en· Canadian Urological Association Journal· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.51847/Hb8xnPj
2000· article· en· Time to knit· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Insights into the December 2022 issue of the JOE
Anita Aminoshariae, Amir Azarpazhooh, Ashraf Fouad, Gerald Glickman, Jianing He, Sahng G. Kim +6 more
2022· editorial· en· Journal of Endodontics· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
For the record
2011· article· en· Canadian Medical Association Journal· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About