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
Scientific Computing and Data Management
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.

2,034 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.
2,034 works in the cohort · of 4,299,418page 13 of 41

Labels cover 13 of 2,034 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 2,034 of 2,034 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
CAMO: Explaining Consensus Across MOdels
Andy C. Yu, Parke Godfrey, Lukasz Golab, Divesh Srivastava, Jaroslaw Szlichta
2024· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Introduction to Node.js
Andrew Low, Joran Siu, Ivy Ho, Gary Liu
2014· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
What is middleware made of?
François Taı̈ani, Rice Jackie, Paul Rayson
2012· article· en· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
FASA(R): New Access System Architecture
Takamitsu Tochino, Keita Nishimoto, Tomoya Hatano, Kota Asaka, Jun‐ichi Kani, Jun Terada
2019· article· en· NTT technical review· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Replication Package for Paper
Mohammad Masudur Rahman, Chanchal Kumar Roy
2018· dataset· en· Artifact Digital Object Group· Decision Sciences
machine prediction:candidate · metaresearch+insufficient_payloadconsensus · none
1
citations
affunlabeled
ultralytics/yolov3: v8 - Final Darknet Compatible Release
Glenn Jocher, Yonghye Kwon, guigarfr, Perry, Josh Veitch-Michaelis, Ttayu +20 more
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
SEGarage
Lakshmanan Arumugam, Vikram N. Subramanian, Meiyappan Nagappan
2019· article· en· ACM SIGSOFT Software Engineering Notes· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Software Carpentry: Programming With Gap
Alexander Konovalov, Michael Torpey, Greg Wilson, François Michonneau, Andy Boughton, Abigail Cabunoc Mayes +16 more
2016· article· en· Figshare· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
pytroll/satpy: Version 0.22.0
Martin Raspaud, David Hoese, Panu Lahtinen, Adam Dybbroe, Stephan Finkensieper, Gerrit Holl +23 more
2020· article· en· Open MIND· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Visualising Game Engine Subsystem Coupling Patterns
Gabriel C. Ullmann, Yann‐Gaël Guéhéneuc, Fábio Petrillo, Nicolas Anquetil, Cristiano Politowski
2023· book-chapter· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Reproducible Data Analysis Pipelines for Precision Medicine
Bjørn Fjukstad, Vanessa Dumeaux, Michael Hallett, Lars Ailo Bongo
2018· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Decision Sciences
machine prediction:candidate · metaresearchconsensus · none
1
citations

How this was built: Screen · Findings · About