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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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Remote Sensing and LiDAR 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.

2,536 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.
2,536 works in the cohort · of 4,299,418page 34 of 51

Labels cover 3 of 2,536 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 2,536 of 2,536 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.

affunlabeled
Real-Time Environmental Visualization with Web3D
Bo Huang, Hongga Li, Magesh Chandramouli
2004· article· en· Transportation Research Record Journal of the Transportation Research Board· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
VCSeg: Virtual Camera Adaptation for Road Segmentation
Gong Cheng, James H. Elder
2022· article· en· 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Light-Guided Tree Modeling of Diverse Biomorphs
Lei Yi, Hongjun Li, Jianwei Guo, Oliver Deußen, Xiaopeng Zhang
2015· article· en· Eurographics· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
aboutno affunlabeled
LiDAR accuracy on North American mountain summits
Eric Gilbertson, R. Hensley, Andrew Kirmse, Kyle Bretherton, Kathryn Stanchak
2025· article· en· Progress in Physical Geography Earth and Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
afffundaboutunlabeled
Aboveground carbon estimation of forests
D.G. Goodenough, Piper Gordon, H. Chen, K. Olaf Niemann, Xiaoyan Ma
2013· article· en· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
MULTISPECTRAL AIRBORNE LASER SCANNING POINT-CLOUDS FOR LAND COVER CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS
Lingfei Ma, Zhihao Chen, Yuning Li, Dongrui Zhang, Jonathan Li, Michael A. Chapman
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· Environmental Science
machine prediction:candidate · noneconsensus · none
2
citations
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