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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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Statistical Methods and Inference
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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
fundfunder
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.

1,935 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.
1,935 works in the cohort · of 4,299,418page 35 of 39

Labels cover 22 of 1,935 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 1,935 of 1,935 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Survival Data with Measurement Error
Grace Y. Yi
2017· book-chapter· en· Springer series in statistics· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
afffundno abstractunlabeled
Bayesian and minimax estimators of loss
Christine Allard, Éric Marchand
2024· article· en· Japanese Journal of Statistics and Data Science· Mathematics
distilled prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Optimal Censoring Schemes
N. Balakrishnan, Rita Aggarwala
2000· book-chapter· en· Birkhäuser Boston eBooks· Mathematics
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affunlabeled
DS-HECK: double-lasso estimation of Heckman selection model
Masayuki Hirukawa, Di Liu, Irina Murtazashvili, Artem Prokhorov
2023· book-chapter· en· Advanced studies in theoretical and applied econometrics· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Likelihood
Nancy Reid
2025· book-chapter· en· International Encyclopedia of Statistical Science· Mathematics
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
0
citations
affunlabeled
Estimation and Model Selection for More Complex Models
Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
2008· other· en· Wiley series in probability and statistics· Mathematics
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
fundno affunlabeled
Delta method and quantile estimation
Arthur Charpentier
2012· article· en· OpenEdition (OpenEdition)· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Robust Regularized Models
2025· other· en· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Rejoinder
Gemai Chen, Richard Lockhart, Michael A. Stephens
2002· article· en· Canadian Journal of Statistics· Mathematics
distilled prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About