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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.

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Statistics Education and Methodologies
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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.

595 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
595 works in the cohort · of 4,299,418page 3 of 12

Labels cover 5 of 595 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 595 of 595 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.

venueno affunlabeled
Approaches to Learning in Statistics
Ayse Bilgin, S. M. Crowe
2009· article· en· Asian Social Science· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
fundaboutno affunlabeled
χ<sup>2</sup>and the lottery
Christian Genest, Richard Lockhart, Michael A. Stephens
2002· article· en· Journal of the Royal Statistical Society Series D (The Statistician)· Mathematics
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Probability and Statistics
2024· other· en· Mathematics
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
The Language of Conditional Probability
Jessica S. Ancker
2006· article· en· Journal of Statistics Education· Mathematics
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
Mata Matters: Precision
William Gould
2006· article· en· The Stata Journal Promoting communications on statistics and Stata· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
Let's Put the Squares in Least-Squares
Erhan Erkut, Ármann Ingólfsson
2000· article· en· INFORMS Transactions on Education· Mathematics
machine prediction:candidate · noneconsensus · none
7
citations
afffundaboutunlabeled
(MAL)ADAPTIVE COGNITIONS AS PREDICTORS OF STATISTICS ANXIETY
Sara-Emilie McIntee, Jean‐Christophe Goulet‐Pelletier, Alexandre Williot, EMMA DECK-LÉGER, Daniel Lalande, Michael Cantinotti +1 more
2022· article· en· Statistics Education Research Journal· Mathematics
machine prediction:candidate · noneconsensus · none
7
citations
venueno affunlabeled
Student Preference for Spreadsheet-Based Learning
Akash Dania, Bridget Anakwe, Bernadette M. Ruf
2019· article· en· Accounting and Finance Research· Mathematics
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Probabilistic and Statistical Thinking
Bharath Sriraman, Egan J. Chernoff
2020· book-chapter· en· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
Student Performance on the BDSI for Basic Data Structures
Kevin C. Webb, Daniel Zingaro, Soohyun Nam Liao, Cynthia Taylor, Cynthia Lee, Michael Clancy +1 more
2021· article· en· ACM Transactions on Computing Education· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Discovery Science
Annalisa Appice, Yannis Manolopoulos, Stan Matwin
2020· book· en· Lecture notes in computer science· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
R Tricks for Kids
W. John Braun, Bethany J. G. White, Gavin Craig
2013· article· en· Teaching Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations

How this was built: Screen · Findings · About