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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 and Computational Modeling
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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.

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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.

88 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.
88 works in the cohort · of 4,299,418page 2 of 2

Labels cover 0 of 88 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 88 of 88 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 affno abstractunlabeled
labrador hornblende
2009· book-chapter· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
sadsa
dsadasd
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Appendix B: An Inventory of Discrete Distributions
Stuart A. Klugman, Harry H. Panjer, Gordon E. Willmot
2013· other· en· Wiley series in probability and statistics· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
functions.R
Nicholas Kuipers, Gareth Nellis, Michael Weaver
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Bioconcentration
Monica Nordberg, John H. Duffus, Douglas M. Templeton
2016· dataset· en· IUPAC Standards Online· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Software for Toxicological Data Searches (toXie)
Zdeněk Fiala, Daniel Drolet, Jan Kremláček, Oľga Šušoliaková, Adolf Vyskočil, Ondřej Fiala +3 more
2014· article· en· Hygiena· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
R-Strategy
Monica Nordberg, Douglas M. Templeton, Ole Andersen, John H. Duffus
2016· dataset· en· IUPAC Standards Online· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)92026-8
2000· article· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Fru 27
2015· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
casino rama shuttle bus schedule pdf
2024· other· en· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

How this was built: Screen · Findings · About