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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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Journal of the Royal Statistical Society Series A (Statistics in Society)
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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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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

83 results · 1 filter active ·
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20012025
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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.
83 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 83 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 83 of 83 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.

afffundunlabeled
On partial likelihood
Nancy Reid
2024· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Artificial Intelligence and Causal Inference
Stanley E. Lazic
2022· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Mapping socio-economic status using mixed data: a hierarchical Bayesian approach
Gabrielle Virgili-Gervais, Alexandra M. Schmidt, Honor Bixby, Alicia Cavanaugh, George Owusu, Samuel Agyei‐Mensah +2 more
2024· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Obituaries
Martha Smith, S. Reid, Max Murray, Crawford W. Revie
2015· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
David John Bartholomew, 1931–2017
Celia Swan, M. Knott
2018· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Derek John Pike, 1944–2018
R. N. Curnow
2018· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Michael Arthur Stephens, 1927–2019
Richard Lockhart
2019· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
John Haigh 1941–2021
Charles M. Goldie
2021· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
G. Barrie Wetherill (1932–2022)
Shirley Coleman
2022· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
On the Analysis of Long-Term Experiments
Thomas M. Loughin, Mollie P. Roediger, George A. Milliken, John Schmitt
2006· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface to the Papers on ‘Small Area Estimation’
Nikos Tzavidis, Li‐Chun Zhang, Danny Pfeffermann, Partha Lahiri
2017· article· en· Journal of the Royal Statistical Society Series A (Statistics in Society)· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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