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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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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.

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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
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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 13 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.

affunlabeled
Multivariate Statistics
John H. Duffus, Monica Nordberg, Douglas M. Templeton
2016· dataset· en· IUPAC Standards Online· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
On Combinatorial Depth Measures
Stéphane Durocher, Robert Fraser, Alexandre Leblanc, Jason Morrison, Matthew Skala
2018· article· en· International Journal of Computational Geometry & Applications· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Robust Linear Regression
2025· other· en· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Multiple Regression Model
A. K. Md. Ehsanes Saleh
2005· other· en· Wiley series in probability and statistics· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Ridge Autoregression Estimation: LS Method
A. K. Md. Ehsanes Saleh, Amal F. Ghania
2015· article· en· Communication in Statistics- Theory and Methods· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Linear Regression, Simple
David E. Matthews
2014· other· en· Wiley StatsRef: Statistics Reference Online· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Confidence Sets for Statistical Classification
Wei Liu, Frank Bretz, Natchalee Srimaneekarn, Jianan Peng, Anthony J. Hayter
2019· article· en· Stats· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
affno abstractunlabeled
Nonstandard Quantile-Regression Inference
Chuan Goh, Keith Knight
2005· article· en· SSRN Electronic Journal· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Adaptive Varying-Coefficient Linear Models
Zongwu Cai, Jianqin Fan, Qiwei Yao
2000· article· en· SSRN Electronic Journal· Mathematics
machine prediction:candidate · noneconsensus · none
3
citations
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