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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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Cartographica The International Journal for Geographic Information and Geovisualization
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Retraction
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Label status

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
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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.

508 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.
508 works in the cohort · of 4,299,418page 7 of 11

Labels cover 0 of 508 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 508 of 508 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
Using Hachures to Construct a 3D Doline Model Automatically
Nai Yang, Lin Wan, Guizhou Zheng, Jie Yang
2015· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Maps and the Meaning of the Cloud
Michael P. Peterson
2015· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
venueno affunlabeled
Exact Equations for Fuller's Map Projection and Inverse
John E. Crider
2008· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
The End of the “ARC/INFO Driving Licence” Era
Muki Haklay
2010· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Engineering
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
Delineation of Paleowind Direction from Dunes in Simcoe County, Ontario
Kelly K. To, Kristin A. Clements, Sara L. De Thomasis, Alanna G. Smolarz, Christine E.S. van Beest, Mark A. Pollock +3 more
2015· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueaboutunlabeled
A Brief History and Progress of Mountain Cartography in Canada
Roger Wheate, Nancy J. Alexander, Michael T. Fisher, DIEUDONNE MOUAFO
2001· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Putting Workers on the Map: Towards a Labour Cartography
Stephen McFarland
2023· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Dating the Sir Francis Drake <i>Silver Maps</i>
A. Terry Bahill
2022· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Projection, Scale, and Accuracy in the 1721 Kangxi Maps
David L.B. Jupp
2017· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Bedolina: Map or Tridimensional Model?
Emanuela Casti
2018· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Cartographic Analysis of Urban Expansion in Kuwait
Mohamed Alkhuzamy Aziz, Nayef Alghais
2021· article· fr· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Cartographic Inference: A Peircean Perspective
Gordon Cromley
2020· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Hardware-Accelerating 2D Web Maps: A Case Study
Gábor Farkas
2019· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
Palimpsest
Gunnar Olsson
2009· article· en· Cartographica The International Journal for Geographic Information and Geovisualization· Mathematics
machine prediction:candidate · noneconsensus · none
2
citations

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