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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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Insurance, Mortality, Demography, Risk Management
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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.

1,105 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.
1,105 works in the cohort · of 4,299,418page 20 of 23

Labels cover 0 of 1,105 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 1,105 of 1,105 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.

aboutno affunlabeled
Recent Population Trends in the Midwest
Daniel Hartley, Kyle Fee
2011· article· en· Economic Trends· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Clytia longitheca Fraser 1914
2018· article· en· Zenodo (CERN European Organization for Nuclear Research)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Universal life insurance
David Dickson, Mary R. Hardy, Howard R. Waters
2019· book-chapter· en· Cambridge University Press eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cohort Working Life Tables for Older Canadians
Frank T. Denton, Christine H. Feaver, Byron G. Spencer
2009· article· en· Social and Economic Dimensions of an Aging Population Research Papers· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Estimation of Risk Contributions with MCMC
Takaaki Koike, Mihoko Minami
2017· preprint· en· RePEc: Research Papers in Economics· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Optimal Dynamic Longevity Hedge with Basis Risk
Chengguo Weng, Ken Seng Tan, Jinggong Zhang
2020· article· en· SSRN Electronic Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Investing by the Numbers (a review)
Martin S. Fridson
2000· article· en· Financial Analysts Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About