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
Evolutionary Algorithms and Applications
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.

691 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.
691 works in the cohort · of 4,299,418page 11 of 14

Labels cover 0 of 691 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 691 of 691 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
REvolutionH-tl: A Fast and Robust Tool for Decoding Evolutionary Gene Histories
José Antonio Ramírez-Rafael, Annachiara Korchmaros, Katia Aviña‐Padilla, Alitzel López-Sánchez, Gabriel Martinez-Medina, Alfredo José Hernández-Álvarez +3 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Evolving Networks or Graphs
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Evolutionary Computation
James Hughes, Sheridan Houghten, Michael P. Dubé, Daniel Ashlock, Joseph Alexander Brown, Wendy Ashlock +1 more
2024· book-chapter· en· Synthesis lectures on learning, networks, and algorithms· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Let’s Evolve Intelligence, Not Solutions
Talib Hussain
2024· book-chapter· en· Genetic and evolutionary computation· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Part Introduction
Nazim H. Madhavji, Juan C. Fernández-Ramil BSc, Dewayne E. Perry
2006· other· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Primary Graft Dysfunction
2025· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueunlabeled
Two perspectives on generative AI now
Boba Samuels
2024· article· en· Discourse and Writing/Rédactologie· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
W. B. Langdon “Jaws 30”
Malcolm I. Heywood
2023· article· en· Genetic Programming and Evolvable Machines· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Genetic Algorithm Visualization
Dwight Deugo
2025· book-chapter· en· Communications in computer and information science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Genetic Learning
Ivan Brůha
2009· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Parallelizing Genetic Algorithms
Iker Gondra
2008· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Havoc Paradox in Generator-Based Fuzzing—RCR Report
Ao Li, Madonna Huang, Vasudev Vikram, Caroline Lemieux, Rohan Padhye
2025· article· en· ACM Transactions on Software Engineering and Methodology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
DarwiNN
Gurshaant Malik, Lucian Petrică, Nachiket Kapre, Michaela Blott
2020· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On-chain optimal aggregation of Uniswap v3 clones
Vincent Danos, Leo Murao Watson, Hamza El Khalloufi
2024· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
A Possible Canvasback x Ruddy Duck Hybrid
2025· article· Digital Commons - University of South Florida (University of South Florida)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Genetic Programming
Mario Giacobini, Bing Xue, Luca Manzoni
2024· book· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Fiscal Year 2018
2019· report· en· The Portal to Texas History (University of North Texas)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About