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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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Data Analysis with R
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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
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venuejournal
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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.

814 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
814 works in the cohort · of 4,299,418page 10 of 17

Labels cover 3 of 814 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 814 of 814 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundvenueunlabeled
About the SIAM 2026 Desk Calendar
Robert M. Corless, Nicolas Fillion
2025· article· Maple Transactions· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
IS IS
2014· article· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Working with Data: Two Empiricists’ Experience
Christopher R. Knittel, Κωνσταντίνος Μεταξόγλου
2016· article· en· Journal of Econometric Methods· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Preface to the third edition
2021· other· en· Computer Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
References to R Packages
John H. Maindonald, W. John Braun, Jeffrey L. Andrews
2024· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Visualisation
2025· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
Spatial data science languages: commonalities and needs
Edzer Pebesma, Martin Fleischmann, Josiah Parry, Jakub Nowosad, Anita Graser, Dewey Dunnington +5 more
2025· article· en· Journal of Spatial Information Science· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
0
citations
affunlabeled
Introduction to Environmental Data Science
Timothée Poisot
2024· article· en· Journal of the American Statistical Association· Computer Science
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Index of R Functions
John H. Maindonald, W. John Braun, Jeffrey L. Andrews
2024· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
sampleweights.tab
Martin Boyer, Philippe D'Astous, Pierre‐Carl Michaud
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
hierarchy_adj.R
Eve Kraicer, Andrew Piper
2019· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Programming statistical graphics
W. John Braun, Duncan J. Murdoch
2007· book-chapter· en· Cambridge University Press eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affunlabeled
MSP_F_50_NFL_4_30.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_5.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Machine learning based identification of superconductors
2024· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_50.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_2.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_5.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_24.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_33.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_150_NFL_4_41.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_7.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_70_NFL_4_3.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
MSP_F_50_NFL_4_4.xlsx
Mohamed Ossama Hassan, Antoine Saucier, Soumaya Yacout, François Soumis
2020· dataset· en· Harvard Dataverse· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
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