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
Empirical Software Engineering
Topic
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.

371 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.
371 works in the cohort · of 4,299,418page 6 of 8

Labels cover 1 of 371 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 371 of 371 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
Release synchronization in software ecosystems
Armstrong Foundjem, Bram Adams
2021· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affunlabeled
Registered reports in software engineering
Neil Ernst, María Teresa Baldassarre
2023· editorial· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
7
citations
affno abstractunlabeled
Vulnerability management in Linux distributions
Jiahuei Lin, Haoxiang Zhang, Bram Adams, Ahmed E. Hassan
2023· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
afffundno abstractunlabeled
A study of common bug fix patterns in Rust
Mohammad Robati Shirzad, Patrick Lam
2024· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
6
citations
affno abstractunlabeled
A qualitative study on refactorings induced by code review
Flávia Coelho, Nikolaos Tsantalis, Tiago Massoni, Everton L. G. Alves
2024· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
5
citations
afffundno abstractunlabeled
Examining ownership models in software teams
Umme Ayman Koana, Quang Hy Le, Chris Carlson, Francis Chew, Maleknaz Nayebi
2024· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · metaresearchconsensus · none
4
citations
afffundno abstractunlabeled
Sources of software development task friction
N Bradley, Thomas Fritz, Reid Holmes
2022· article· en· Empirical Software Engineering· Decision Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Diversity in issue assignment: humans vs bots
Aniruddhan Murali, Gaurav Sahu, Kishanthan Thangarajah, Brian D. Zimmerman, Gema Rodríguez-Pérez, Meiyappan Nagappan
2024· article· en· Empirical Software Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
An empirical study of token-based micro commits
Masanari Kondo, Daniel M. Germán, Yasutaka Kamei, Naoyasu Ubayashi, Osamu Mizuno
2024· article· en· Empirical Software Engineering· Engineering
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About