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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.

affaffiliation
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venuejournal
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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 11 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.

venueno affunlabeled
Enriched-Data Problems and Essential Non-Identifiability
Geert Molenberghs, Edmund Njeru Njagi, Michael G. Kenward, Geert Verbeke
2012· article· en· International Journal of Statistics in Medical Research· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
afffundunlabeled
Alignment methods for biased multicanonical sampling
Michael E. Reimer, Ahmed Awadalla, David Yevick, Tao Lű
2007· article· en· Journal of the Optical Society of America A· Mathematics
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Optimal Scores as an Alternative to Sum Scores
Marie Wiberg, J. O. Ramsay, Juan Li
2018· book-chapter· en· Springer proceedings in mathematics & statistics· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
On inference in high-dimensional regression
Heather Battey, Nancy Reid
2023· article· en· Journal of the Royal Statistical Society Series B (Statistical Methodology)· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Multivariate Regression Analysis
Daniel Stockemer, Jean‐Nicolas Bordeleau
2023· book-chapter· en· Springer texts in political science and international relations· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Statistical engineering – Part 2: Future
Christine M. Anderson‐Cook, Lu Lu, William A. Brenneman, Jeroen de Mast, Frederick W. Faltin, Laura Freeman +9 more
2022· article· en· Quality Engineering· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
fundno affunlabeled
Visualization of robust L1PCA
Yi‐Hui Zhou, J. S. Marron
2016· article· en· Stat· Mathematics
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About