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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.

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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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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.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

25 results · 1 filter active ·
Results by year
20182025
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Categories
Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
25 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 25 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 25 of 25 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.

affno abstractunlabeled
Canonical Ordination
Daniel Borcard, François Gillet, Pierre Legendre
2018· book-chapter· en· Use R!· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
44
citations
affno abstractunlabeled
Exploratory Data Analysis
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
35
citations
affno abstractunlabeled
Community Diversity
Daniel Borcard, François Gillet, Pierre Legendre
2018· book-chapter· en· Use R!· Environmental Science
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Cluster Analysis
Daniel Borcard, François Gillet, Pierre Legendre
2018· book-chapter· en· Use R!· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
13
citations
affno abstractunlabeled
Discrete Choice Analysis with R
Antonio Páez, Geneviève Boisjoly
2022· book· en· Use R!· Decision Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Introduction
Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan
2018· book-chapter· en· Use R!· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
6
citations
affno abstractunlabeled
Retirement Income Recipes in R
Moshe A. Milevsky
2020· book· en· Use R!· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
5
citations
affno abstractunlabeled
Association Measures and Matrices
Daniel Borcard, François Gillet, Pierre Legendre
2018· book-chapter· en· Use R!· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Models for Ordinal Responses
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Health Professions
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Logit
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· kn· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Data, Models, and Software
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
BCEAweb: A User-Friendly Web App to Use BCEA
Gianluca Baio, Andrea Berardi, Anna Heath, Nathan Green
2025· book-chapter· en· Use R!· Decision Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Ties, Time Series, and Regression
Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan
2018· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pensionization: From Benefits to Utility
Moshe A. Milevsky
2020· book-chapter· en· Use R!· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Fundamental Concepts
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Behavioral Insights from Choice Models
Antonio Páez, Geneviève Boisjoly
2022· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Probabilistic Sensitivity Analysis Using BCEA
Gianluca Baio, Andrea Berardi, Anna Heath, Nathan Green
2025· book-chapter· en· Use R!· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Estimation
Marius Hofert, Ivan Kojadinovic, Martin Mächler, Jun Yan
2018· book-chapter· en· Use R!· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About