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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
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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.

1,245 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 11 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.

aboutno affunlabeled
Don’t Be Afraid of the Digital
Martien de Vletter
2019· article· en· Arts· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Improved Training for 3D Point Cloud Classification
Sneha Paul, Zachary Patterson, Nizar Bouguila
2022· book-chapter· en· Lecture notes in computer science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
afffundunlabeled
A THEORETICAL FRAMEWORK FOR MULTI-SCALE DOCUMENTATION OFDECORATED SURFACE
M. Reina Ortiz, A. Weigert, A. Dhanda, Chen Yang, Karl Smith, A. Min +4 more
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· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Through-Wall Object Recognition and Pose Estimation
Ruoyu Wang, Siyuan Xiang, Chen Feng, Pu Wang, Semiha Ergan, Yi Fang
2019· article· en· Proceedings of the ... ISARC· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Architectural Co-LOD Generation
Runze Zhang, Shanshan Pan, Chenlei Lv, Minglun Gong, Hui Huang
2024· article· en· ACM Transactions on Graphics· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
LOW COST TECHNIQUES FOR THE DIGITAL SURVEY OF A MINOAN ARCHITECTURE IN THE ARCHEOLOGICAL SITE OF PHAISTOS (CRETE)
D. Aiello, Francesca Buscemi, Graziana D’Agostino, Mariateresa Galizia, Pietro Militello, Cettina Santagati
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· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Archival exhibitions: purposes and principles
Heather Marie Gordon
2009· article· en· cIRcle (University of British Columbia)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Improvement in measurement accuracy for hybrid scanner
Mohd Azwan Abbas, Zulkepli Majid, Alphonsus Chong, Derek D. Lichti
2014· article· en· IOP Conference Series Earth and Environmental Science· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
LEVERAGING EXISTING HERITAGE DOCUMENTATION FOR ANIMATIONS: SENATE VIRTUAL TOUR
A. Dhanda, Stephen Fai, Katie Graham, Gawel Walczak
2017· 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· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Avian Attractor
Judith Doyle, Naoto Hieda
2016· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
FROM FIELD WORK TO DELIVERABLES. EXPERIENCES ON THE TIN HOUSE COURTYARD DOCUMENTATION
Lacouture Caballero, Davide Mezzino, Alex D. Federman, Mario Santana Quintero
2017· 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· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Unmanned aircraft systems
2022· standard· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About