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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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ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
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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.

215 results · 1 filter active ·
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20122025
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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.
215 works in the cohort · of 4,299,418page 4 of 5

Labels cover 0 of 215 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 215 of 215 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
GEOINFORMATION FOR DISASTER MANAGEMENT 2020 (GI4DM2020): PREFACE
Petra Helmholz, Sisi Zlatanova, J. Barton, Mitko Aleksandrov
2020· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
DISCOVERING CLUSTERING PATTERNS FROM E-COUNTER DATA STREAMS
Nasrin Eshraghi Ivari, M. Wachowicz, Patricia Williams, T. Agnew
2022· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Demonstration of Immersive Technologies for Geospatial Learning
Dimitrios Bolkas, Matthew O’Banion, Erica Isabella Parisi, Peter Bauer, Ivan Detchev
2024· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
The Concept of Levels of Detail for 3D Niche Models in CityGML
Yang Su, Jun Chen, Miaole Hou, Hongchao Fan, Songnian Li, Yingkui Sun
2024· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
Preface
Christian Heipke, Karsten Jacobsen, Uwe Stilla, Franz Rottensteiner, Alper Yilmaz, Michael Ying Yang +2 more
2017· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Arts and Humanities
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
ESRI Canada
2014· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Intergraph Canada
2014· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
PREFACE: TECHNICAL COMMISSION IV
Sisi Zlatanova, Suzana Dragićević, G. Sithole
2021· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
TRACKING THE SPATIAL EVOLUTION OF URBAN HEAT ISLANDS
Rui Zhu, Éric Guilbert, Man Sing Wong
2016· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
MULTI-RESOLUTION REPRESENTATION USING GRAPH DATABASE
Yan Huang, Emmanuel Stefanakis
2022· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
PREFACE
Jie Jiang, Shaker Ahmed, Hongping Zhang
2018· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
PREFACE: TECHNICAL COMMISSION III
J. Jiang, A. Shaker, H. Zhang
2021· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Preface: 3D GeoInfo 2021
Linh Truong‐Hong, Fengman Jia, Erzhuo Che, S. Emamgholian, Debra F. Laefer, Anh-Vu Vo
2021· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Preface: Workshop “Laser Scanning 2023”
J. Boehm, Bo Yang, Martin Weinmann, Krzysztof Anders, R. Wang
2023· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Association of Ontario Land Surveyors
2014· article· en· ISPRS annals of the photogrammetry, remote sensing and spatial information sciences· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations

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