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
Visual Attention and Saliency Detection
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.

509 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.
509 works in the cohort · of 4,299,418page 5 of 11

Labels cover 1 of 509 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 509 of 509 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Hyperspectral image visualization based on a human visual model
Hongqin Zhang, Honghong Peng, Mark D. Fairchild, Ethan D. Montag
2008· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
affno abstractunlabeled
Sensitive Periods in Face Perception
Daphne Maurer, Catherine J. Mondloch
2011· book· en· Oxford University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affno abstractunlabeled
Feature Conjunctions in Visual Search
Antonio Rodrı́guez-Sánchez, Evgueni Simine, John K. Tsotsos
2006· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
affno abstractunlabeled
Game Design Guided by Visual Attention
James J. Clark
2007· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
6
citations
afffundunlabeled
Endogenous strategy in exploration.
Grayden J. F. Solman, Alan Kingstone
2015· article· en· Journal of Experimental Psychology Human Perception & Performance· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
Salient object cutout using Google images
Hongyuan Zhu, Jianfei Cai, Jianmin Zheng, Jianxin Wu, Nadia Magnenat‐Thalmann
2013· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
fundno affunlabeled
Classifier-Agnostic Saliency Map Extraction
Konrad Żołna, Krzysztof J. Geras, Kyunghyun Cho
2019· article· en· Proceedings of the AAAI Conference on Artificial Intelligence· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations

How this was built: Screen · Findings · About