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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.

affaffiliation
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venuejournal
aboutaboutness

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 4 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
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
affvenueaboutunlabeled
On minimum Hellinger distance estimation
Jingjing Wu, Rohana J. Karunamuni
2009· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
32
citations
affunlabeled
The Beta-Hyperbolic Secant Distribution
Matthias Fischer, David Vaughan
2016· article· en· Austrian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
32
citations
afffundno abstractunlabeled
Empirical likelihood based variable selection
Asokan Mulayath Variyath, Jiahua Chen, Bovas Abraham
2009· article· en· Journal of Statistical Planning and Inference· Mathematics
machine prediction:candidate · noneconsensus · none
30
citations
fundaboutno affunlabeled
crs: Categorical Regression Splines
Jeffrey S. Racine, Zhenghua Nie
2011· dataset· en· Mathematics
machine prediction:candidate · noneconsensus · none
29
citations
affvenueaboutunlabeled
Data depth-based nonparametric scale tests
Shojaeddin Chenouri, Christopher G. Small, Thomas Farrar
2011· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
Computations using analysis of covariance
Timothy J. Barrett
2011· review· en· Wiley Interdisciplinary Reviews Computational Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
28
citations
affno abstractunlabeled
Asymptotics for the Tukey Median
Jean‐Claude Massé
2002· article· en· Journal of Multivariate Analysis· Mathematics
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
A Strategy for Replacing Sum Scoring
J. O. Ramsay, Marie Wiberg
2016· article· en· Journal of Educational and Behavioral Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
26
citations
venueno affgpt · no categorygrok · no categoryopus · no categorymodels agree
Testing multivariate uniformity: The distance‐to‐boundary method
José R. Berrendero, Antonio Cuevas, Francisco Vjosázquez‐grande
2006· article· en· Canadian Journal of Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
25
citations
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How this was built: Screen · Findings · About