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
Adversarial Robustness in Machine Learning
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.

797 results · 1 filter active ·
Results by year
20012025
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.
797 works in the cohort · of 4,299,418page 16 of 16

Labels cover 2 of 797 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 797 of 797 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

aboutno affunlabeled
Nature's Past Episode 050: Canadian Energy History
2015· other· en· York University Digital Library (York University)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
General Framework for AI Security and Privacy
Dilli Prasad Sharma, Arash Habibi Lashkari, Mahdi Daghmehchi Firoozjaei, Samaneh Mahdavifar, Pulei Xiong
2025· book-chapter· en· Progress in IS· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Self-Gradient Networks
Hossein Aboutalebi, Mohammad Javad Shafiee
2020· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
Adaptive Gradient Clipping for Robust Federated Learning
Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Ahmed Jellouli, Geovani Rizk, John Stephan
2025· article· en· Research at the University of Copenhagen (University of Copenhagen)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Estimación de la incertidumbre en redes neuronales profundas
2020· article· es· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+research_integrityconsensus · none
0
citations
afffundunlabeled
Adversarial Machine-Learning-Enabled Anonymization of OpenWiFi Data
Samhita Kuili, Kareem Dabbour, Irtiza Hasan, Andrea Herscovich, Burak Kantarcı, Marcel Chenier +1 more
2024· article· en· Wireless World Research and Trends Magazine· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Distribution Testing with a Confused Collector
Renato Ferreira Pinto, Nathaniel Harms
2023· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Residual Network GANs
Micheal Lanham
2021· book-chapter· en· Apress eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
A testing approach for dependable Machine Learning systems
Cyril Cappi, Camille Chapdelaine, Laurent Gardès, Éric Jenn, Baptiste Lefèvre, Sylvaine Picard +1 more
2022· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communicationconsensus · none
0
citations
aboutno affunlabeled
Der untergang script german pdf
2024· other· de· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
ibid book pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About