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
The Mental Lexicon
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.

97 results · 1 filter active ·
Results by year
20072025
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.
97 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 97 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 97 of 97 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.

fundno affunlabeled
Lexical knowledge without a lexicon?
Jeffrey L. Elman
2011· article· en· The Mental Lexicon· Arts and Humanities
machine prediction:candidate · noneconsensus · none
66
citations
affunlabeled
Feeling affect in a second language
Norman Segalowitz, Pavel Trofimovich, Elizabeth Gatbonton, Anna Sokolovskaya
2008· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
Does s <i>now man</i> prime <i>plastic snow</i>?
Christina L. Gagné, Thomas L. Spalding, Lauren Figueredo, Allison C. Mullaly
2009· article· en· The Mental Lexicon· Neuroscience
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Measures of phonological typicality
Padraic Monaghan, Morten H. Christiansen, Thomas A. Farmer, Stanka A. Fitneva
2010· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
Can the maze task be even more amazing?
Jordan Gallant, Gary Libben
2020· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
22
citations
affaboutunlabeled
LINGUA
Chris Westbury, Geoff Hollis, Cyrus Shaoul
2007· article· en· The Mental Lexicon· Computer Science
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Formulaic sequences
Cyrus Shaoul, Chris Westbury
2011· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
18
citations
aboutno affunlabeled
Proper name retrieval in cognitive decline
Sonia Montemurro, Sara Mondini, Massimo Nucci, Carlo Semenza
2018· article· en· The Mental Lexicon· Neuroscience
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
No lab, no problem
Jordan Gallant, Gary Libben
2019· article· en· The Mental Lexicon· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
11
citations
affunlabeled
Lexical access of mass and count nouns
Sara Mondini, Eva Kehayia, Brendan S. Gillon, Giorgio Arcara, Gonia Jarema
2009· article· en· The Mental Lexicon· Neuroscience
machine prediction:candidate · noneconsensus · none
11
citations
afffundunlabeled
Is it you you’re looking for?
Chris Westbury, Lee H. Wurm
2022· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
P3
Gary Libben, Silke Anna Theresa Weber, Koji Miwa
2012· article· en· The Mental Lexicon· Psychology
machine prediction:candidate · noneconsensus · none
9
citations
fundno affunlabeled
Lexical access in mild cognitive impairment
Vanessa Taler, Shanna Kousaie, Christine Sheppard
2015· article· en· The Mental Lexicon· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Semantic neighbourhoods
Susan Lutfallah, Candice Fast, Chitra Rangan, Lori Buchanan
2018· article· en· The Mental Lexicon· Neuroscience
machine prediction:candidate · noneconsensus · none
3
citations

How this was built: Screen · Findings · About