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
Lecture notes in computer science
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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 110 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Adaptive Atlas of Connectivity Maps
Ali Mahdavi‐Amiri, Faramarz Samavati
2015· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Patrolling
Jurek Czyzowicz, Kostantinos Georgiou, Evangelos Kranakis
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Computational Science and Its Applications - ICCSA 2006
Marina L. Gavrilova, David Taniar, Youngsong Mun, Antonio Laganà, Vipin Kumar, Osvaldo Gervasi +1 more
2006· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
RTFX: On-Set Previs with UnrealEngine3
Lesley Northam, Joe Istead, Craig S. Kaplan
2011· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
On a DAG Partitioning Problem
Soroush Alamdari, Abbas Mehrabian
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Bike Assisted Evacuation on a Line
Khaled Jawhar, Evangelos Kranakis
2021· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Information Capture Devices for Social Environments
Meghan Deutscher, Phillip Jeffrey, Nelson Siu
2004· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
fundno affno abstractunlabeled
Quantum Lattice Enumeration in Limited Depth
Nina Bindel, Xavier Bonnetain, Marcel Tiepelt, Fernando Virdia
2024· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Alternative Query Optimization for Workload Management
Zahid Abul-Basher, Yijun Feng, Parke Godfrey, Xiaohui Yu, Mokhtar Kandil, Calisto Zuzarte
2012· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Transactions on Computational Science XXVII
Marina L. Gavrilova, C.J. Kenneth Tan
2016· book· en· Lecture notes in computer science· Decision Sciences
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Multi-task Predict-then-Optimize
Bo Tang, Elias B. Khalil
2023· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Parallelism in Ada: Status and Prospects
Luís Miguel Pinho, Brad Moore, Stephen Michell
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Approximate Deadline-Scheduling with Precedence Constraints
Hossein Efsandiari, MohammadTaghi Hajiaghyi, Jochen Könemann, Hamid Mahini, David Malec, Laura Sanità
2015· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
← previousnext →

How this was built: Screen · Findings · About