MétaCan
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.

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
Interactive and Immersive Displays
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.

1,127 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.
1,127 works in the cohort · of 4,299,418page 22 of 23

Labels cover 2 of 1,127 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 1,127 of 1,127 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.

venueno affno abstractunlabeled
10.1145/3756884.3795811
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3808994
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809009
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809048
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3756884.3795816
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3772318.3809098
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3694907.3787195
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1145/3756884.3795807
AI Generated
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
stephen kings the body pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Music-driven Robot Swarm Painting
Jingde Cheng, Gennaro Notomista
2025· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Years of Referenced Manuscripts
Brygg Ullmer, Orit Shaer, Ali Mazalek, Caroline Hummels
2022· book-chapter· en· ACM eBooks· Computer Science
machine prediction:candidate · bibliometrics+insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Position Paper
Evan Iaboni, Sebastian Negulescu, Miles Pitassi, Amir Nazemi, Jerrin Bright, Vasyl Chomko +3 more
2025· article· en· Linköping electronic conference proceedings· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Face-Centered Spatial User Interfaces on Smartwatches
Marium-E Jannat, Thuan T Vo, Khalad Hasan
2022· article· en· CHI Conference on Human Factors in Computing Systems Extended Abstracts· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
SharingToddlers
2017· other· ceb· Open Science Framework· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affaboutunlabeled
Authors Cited
Brygg Ullmer, Orit Shaer, Ali Mazalek, Caroline Hummels
2022· book-chapter· en· ACM eBooks· Computer Science
machine prediction:candidate · bibliometrics+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
User Input
Albert M. Cook, Janice M. Polgar, Pedro Encarnação
2020· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
The future of eye tech
R. Collier
2010· article· en· Canadian Medical Association Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Tangible and Embodied Interaction
Brygg Ullmer, Orit Shaer, Ali Mazalek, Caroline Hummels
2022· book-chapter· en· ACM eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/b978-0-340-57988-6.50007-3
2000· book-chapter· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About