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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.

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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 Modeling in Geospatial Applications
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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.

346 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.
346 works in the cohort · of 4,299,418page 1 of 7

Labels cover 1 of 346 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 346 of 346 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.

affno abstractunlabeled
Basic hypergeometric series
George Gasper, Mizan Rahman
2004· book-chapter· en· Cambridge University Press eBooks· Engineering
machine prediction:candidate · noneconsensus · none
328
citations
affno abstractunlabeled
Open geospatial data, software and standards
Mohamed Bakillah, Steve Liang
2016· article· en· Open Geospatial Data Software and Standards· Engineering
machine prediction:candidate · open_scienceconsensus · none
64
citations
afffundno abstractunlabeled
Multilayer hybrid visualizations to support 3D GIS
Stephen Brooks, Jacqueline Whalley
2008· article· en· Computers Environment and Urban Systems· Engineering
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Digital Earth Platforms
Troy Alderson, Matthew B.J. Purss, Xiaoping Du, Ali Mahdavi‐Amiri, Faramarz Samavati
2019· book-chapter· en· Engineering
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
A GIS-Based Web Approach for Serving Land Price Information
Yongjun Yang, Yaqin Sun, Songnian Li, Shaoliang Zhang, Kuoyin Wang, Huping Hou +1 more
2015· article· en· ISPRS International Journal of Geo-Information· Engineering
machine prediction:candidate · noneconsensus · none
28
citations
affunlabeled
A REVIEW OF 3D GIS FOR USE IN CREATING VIRTUAL HISTORIC DUBLIN
A. Chenaux, M. Murphy, Sara Pavía, Stephen Fai, T. Molnar, John D. Cahill +2 more
2019· review· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Integrating 3D city data through knowledge graphs
Linfang Ding, Guohui Xiao, Albulen Pano, Mattia Fumagalli, Dongsheng Chen, Yu Feng +3 more
2024· article· en· Geo-spatial Information Science· Engineering
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
TOWARDS BUILDING A SEMANTIC FORMALIZATION OF (SMALL) HISTORICAL CENTRES
Margarita Kokla, Mir Abolfazl Mostafavi, Francesca Noardo, Antonia Teresa Spano
2019· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
affunlabeled
Recursive Voronoi Diagrams
Barry Boots, Narushige Shiode
2003· article· en· Environment and Planning B Planning and Design· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
aboutno affunlabeled
DEVELOPMENT OF 3D MARINE CADASTRE DATA MODEL BASED ON LAND ADMINISTRATION DOMAIN MODEL
Ainn Zamzuri, Ismail Bile Hassan, Alias Abdul Rahman
2022· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
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