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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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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.

156 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.
156 works in the cohort · of 4,299,418page 2 of 4

Labels cover 1 of 156 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 156 of 156 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Equivalence of Regression Curves
Holger Dette, Kathrin Möllenhoff, Stanislav Volgushev, Frank Bretz
2017· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
40
citations
affunlabeled
Internet Traffic Data
William S. Cleveland, Don X. Sun
2000· article· en· Journal of the American Statistical Association· Computer Science
distilled prediction:candidate · noneconsensus · none
37
citations
affunlabeled
Comment
Daniel Almirall, Daniel J. Lizotte, Susan A. Murphy
2012· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Tukey’s Depth for Object Data
Xiongtao Dai, Sara López‐Pintado
2021· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
19
citations
affno abstractunlabeled
Likelihood
Nancy Reid
2000· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · metaresearch+insufficient_payloadconsensus · none
17
citations
fundno affunlabeled
An Automated Approach to Causal Inference in Discrete Settings
Guilherme Duarte, Noam Finkelstein, Dean Knox, Jonathan Mummolo, Ilya Shpitser
2023· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
16
citations
afffundunlabeled
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi, Anna Neufeld, Keshav Motwani, Lucy L. Gao, Daniela Witten, Jacob Bien
2024· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
16
citations
affunlabeled
Statistics in Reliability
Jerry Lawless
2000· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · metaresearchconsensus · none
13
citations
affunlabeled
Fast Robust Model Selection in Large Datasets
Debbie J. Dupuis, Maria‐Pia Victoria‐Feser
2011· article· en· Journal of the American Statistical Association· Mathematics
distilled prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About