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 161 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
On the Impulse Method for Cloth Animation
Juntao Ye, Robert E. Webber, Irene Gargantini
2005· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Syntenic Dimensions of Genomic Evolution
Zhe Yu, David Sankoff
2022· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Rearrangement Phylogeny of Genomes in Contig Form
Adriana Muñoz, David Sankoff
2009· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Using Answer Sets to Solve Belief Change Problems
Aaron Hunter, James P. Delgrande, Joel Faber
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Broadcast Problem in Hypercube of Trees
Puspal Bhabak, Hovhannes A. Harutyunyan
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Algorithms for Forest Local Similarity
Zhewei Liang, Kaizhong Zhang
2012· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Computing the One-Visibility Copnumber of Trees
Boting Yang, Tanzina Akter
2020· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Cycle Height of Finite Automata
Kai Salomaa
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Multi-label Dysfluency Classification
Mélanie Jouaiti, Kerstin Dautenhahn
2022· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Wrist Kinematics from Computed Tomography Data
Maarten Beek, C.F. Small, Steve Csongvay, Rick Sellens, Randy E. Ellis, David R. Pichora
2004· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Space Bounds for Adaptive Renaming
Maryam Helmi, Lisa Highám, Philipp Woelfel
2014· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
An Evaluation of Parallel Numerical Hessian Calculations
Mark S. Staveley, Raymond A. Poirier, Sharene D. Bungay
2010· book-chapter· en· Lecture notes in computer science· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Generic Graphical Navigation for Modelling Tools
Hyacinth Ali, Gunter Mussbacher, Jörg Kienzle
2019· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Pseudo-power Avoidance
Ehsan Chiniforooshan, Lila Kari, Zhi Xu
2010· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Transactions on Computational Science XXIV
N. Ranganathan, Himanshu Thapliyal, C.J. Kenneth Tan, Marina L. Gavrilova
2014· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
← previousnext →

How this was built: Screen · Findings · About