MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Dental Health and Care Utilization
Retraction
Abstract
Evidence source
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.

1,798 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,798 works in the cohort · of 4,299,418page 34 of 36

Labels cover 9 of 1,798 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 1,798 of 1,798 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.

affvenueaboutunlabeled
Featuring Daniel Graf
Ludwig Paul B. Cabling
2022· article· en· Eureka· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Featured Cover
Leonardo Mancini, Shayan Barootchi, Miha Pirc, Enrico Marchetti, Ronald E. Jung, Lorenzo Tavelli +1 more
2024· article· en· Clinical Implant Dentistry and Related Research· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Poor oral health predicts cognitive impairment in elders
Jung‐Tsu Chen, Stephanie Di‐Shan Tsai, Ching‐An Tseng, Jeng‐Min Chiou, Ta‐Fu Chen, Yen‐Ching Chen +1 more
2023· article· en· Alzheimer s & Dementia· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Promoting Research-driven Oral Health Care
J.S. Feine, Marc W. Heft, Paul H. Krebsbach
2016· article· en· JDR Clinical & Translational Research· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
AUTHORS Writing
2007· article· en· Dentistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
TÉCNICAS DE ESCOVAÇÃO DENTÁRIA
Bruna dos Santos Basso, Cristiane Rodrigues Costa Serigioli, Karen de Oliveira Souza, Erika Barbosa Lima, Fabíola Stahlke Prado, André Tomazini Gomes de Sá +2 more
2022· article· pt· RECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218· Dentistry
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About