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

1,193 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.
1,193 works in the cohort · of 4,299,418page 20 of 24

Labels cover 6 of 1,193 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 1,193 of 1,193 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.

afffundunlabeled
Discussion
Matías Salibián‐Barrera, Ruben H. Zamar
2006· article· en· The Annals of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Regression with continuous responses
Alessandra Rosalba Brazzale, A. C. Davison, Nancy Reid
2007· book-chapter· en· Cambridge University Press eBooks· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
canon 5d pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Statistical Correctness
2009· book-chapter· en· Encyclopedia of Database Systems· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Multiple Adjusted Quantiles
Christopher P. Chambers, Alan D. Miller
2023· article· en· SSRN Electronic Journal· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Correction
Ying C. MacNab
2014· article· en· Statistics in Medicine· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fast Robust Model Selection in Large Datasets
Debbie J. Dupuis, Maria‐Pia Victoria‐Feser
2010· article· en· SSRN Electronic Journal· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Moments of IV and JIVE Estimators
Russell Davidson, James G. MacKinnon
2007· preprint· en· AgEcon Search (University of Minnesota, USA)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Iso 10535 pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Index
John C. Nash
2014· paratext· kn· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Additional Statistical Applications
Albert W. Marshall, Ingram Olkin, Barry C. Arnold
2010· book-chapter· en· Springer series in statistics· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Applied Statistics
Nial Friel, Janine Illian, Sophy Barber, Patrick Brown, Antonio Canale, Nikolaos Demiris +18 more
2021· article· en· Journal of the Royal Statistical Society Series C (Applied Statistics)· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Local Polynomial Lp-norm Regression
Ladan Tazik, James E. Stafford, John Braun
2025· preprint· en· ArXiv.org· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Estimation et spécification
M.G. Dagenais
2009· article· en· L Actualité économique· Mathematics
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About