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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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3D Surveying and Cultural Heritage
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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.

1,245 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.
1,245 works in the cohort · of 4,299,418page 21 of 25

Labels cover 2 of 1,245 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 1,245 of 1,245 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.

venueaboutno affunlabeled
NRC's 3D Technology for Museum & Heritage Applications
John Taylor, François Blais, Jean-Angelo Beraldin, Guy Godin, Louis Borgeat, Sabry El-Hakim +6 more
2005· article· en· NPARC· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/j.quint.2012.06.007
Elmar Frank, Sigrid Frank
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Tools for Photo Restoration: Part 1
Jennifer Harder
2024· book-chapter· en· Apress eBooks· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10 Leasing Tips for Optometry Tenants
Jeff Grandfield, Dale Willerton
2015· article· en· Canadian journal of optometry/CJO. Canadian journal of optometry· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Born-Digital Design Records
Andi Altenbach
2023· article· en· The American Archivist· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Deep Cove, Vancouver Island, B.C.
Vaughan Grayson
2007· article· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affno abstractunlabeled
Imager's Corner: Noise Reduction and Masks
Blair Macdonald
2018· article· en· Journal of the Royal Astronomical Society of Canada· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dedication: Robin Letellier (1944-2007)
François LeBlanc
2011· article· en· Change Over Time· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
How to Buy a 3-D Laser Scanner
Tom Greaves
2005· article· en· Bridges Conversations in Global Politics and Public Policy· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About