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
Proceedings of the Genetic and Evolutionary Computation Conference Companion
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.

32 results · 1 filter active ·
Results by year
20172025
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.
32 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 32 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 32 of 32 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Linear Genetic Programming
Wolfgang Banzhaf, Ting Hu
2024· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
32
citations
affunlabeled
EvoNN
Boris Shabash, Kay C. Wiese
2018· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Population-based coordinate descent algorithm with majority voting
Davood Zaman Farsa, Azam Asilian Bidgoli, Ehsan Rokhsatyazdi, Shahryar Rahnamayan
2021· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Linear Genetic Programming
Wolfgang Banzhaf, Ting Hu
2025· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
afffundunlabeled
Darwinian malware detectors
Zachary Wilkins, A. Nur Zincir‐Heywood
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
3
citations
affunlabeled
An evolutionary approach to interpretable learning
Jake Robertson, Ting Hu
2021· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
A mixed framework to support heterogeneous collection asset scheduling
Jean Berger, Moufid Harb, Ibrahim Abualhaol, Alexander Tekse, Rami Abielmona, Emil M. Petriu
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Engineering
distilled prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Learning to select mates in artificial life
Dylan R. Ashley, Valliappa Chockalingam, Braedy Kuzma, Vadim Bulitko
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Social Sciences
distilled prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Evolving recurrent neural networks for emergent communication
Joshua Sirota, Vadim Bulitko, Matthew Brown, Sergio Poo Hernandez
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
afffundaboutunlabeled
Evolutionary computation in network management and security
A. Nur Zincir‐Heywood, Gunes Kayacik
2017· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
EvoIsland
Alexander Ivanov, Christian Jacob
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Introductory statistics for EC
Mark Wineberg
2017· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About