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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.

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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 3 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.

affno abstractunlabeled
High breakdown mixture discriminant analysis
Shaheena Bashir, E. M. Carter
2004· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
51
citations
afffundvenueunlabeled
Robust estimation of the SUR model
Martin Bilodeau, Pierre Duchesne
2000· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
47
citations
affno abstractunlabeled
A generalized Mahalanobis distance for mixed data
Alexander R. de Leon, Keumhee C. Carrière
2003· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
46
citations
affunlabeled
The Fast-τ Estimator for Regression
Matías Salibián‐Barrera, Gert Willems, Ruben H. Zamar
2008· article· en· Journal of Computational and Graphical Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
<scp>F</scp>isher's Exact Test
Rick Routledge
2005· other· en· Encyclopedia of Biostatistics· Mathematics
machine prediction:candidate · insufficient_payloadconsensus · none
45
citations
afffundunlabeled
Period Analysis of Variable Stars by Robust Smoothing
Hee‐Seok Oh, Doug Nychka, Timothy C. Brown, Paul Charbonneau
2004· article· en· Journal of the Royal Statistical Society Series C (Applied Statistics)· Mathematics
machine prediction:candidate · noneconsensus · none
45
citations
affunlabeled
False Positives in Multiple Regression
Benjamin R. Shear, Bruno D. Zumbo
2013· article· en· Educational and Psychological Measurement· Mathematics
machine prediction:candidate · metaresearchconsensus · metaresearch
42
citations
affunlabeled
Equivalence of Regression Curves
Holger Dette, Kathrin Möllenhoff, Stanislav Volgushev, Frank Bretz
2017· article· en· Journal of the American Statistical Association· Mathematics
machine prediction:candidate · noneconsensus · none
40
citations
affunlabeled
Flexible Discriminant and Mixture Models
Trevor Hastie, Robert Tibshirani, Andreas Buja
2000· book-chapter· en· Mathematics
machine prediction:candidate · noneconsensus · none
39
citations
affno abstractunlabeled
11 Binary Logistic Regression
David E. Matthews, Vernon T. Farewell
2007· book-chapter· en· Mathematics
machine prediction:candidate · noneconsensus · none
39
citations
afffundunlabeled
Solving the sample size problem for resource selection functions
Garrett M. Street, Jonathan R. Potts, Luca Börger, James C. Beasley, Stephen Demarais, John M. Fryxell +19 more
2021· article· en· Methods in Ecology and Evolution· Mathematics
machine prediction:candidate · metaresearchconsensus · none
37
citations
affno abstractunlabeled
Analyzing outliers: robust methods to the rescue
Luca Greco, George Luta, Martin Krzywinski, Naomi Altman
2019· article· en· Nature Methods· Mathematics
machine prediction:candidate · metaresearchconsensus · none
35
citations

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