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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 11 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 teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundaboutunlabeled
Monitoring Critical Infrastructure Using 3D LiDAR Point Clouds
Ziaaddin Sharifisoraki, Ankita Dey, Roger Selzler, Marzieh Amini, James R. Green, Sreeraman Rajan +1 more
2022· article· en· IEEE Access· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
31
citations
afffundno abstractunlabeled
Using LiDAR to characterize logjams in lowland rivers
Mahdi Hadi Abalharth, Marwan A. Hassan, Brian Klinkenberg, Vivian Leung, Richard McCleary
2015· article· en· Geomorphology· Environmental Science
distilled prediction:candidate · insufficient_payloadconsensus · none
31
citations
affunlabeled
Measurement of ocean water optical properties and seafloor reflectance with scanning hydrographic operational airborne lidar survey (SHOALS): II. Practical results and comparison with independent data
Grady Tuell, Viktor Feygels, Yuri Kopilevich, Alan Weidemann, Alexander Cunningham, Reza Mani +4 more
2005· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Environmental Science
distilled prediction:candidate · noneconsensus · none
31
citations
affvenueunlabeled
UAV–LiDAR accuracy in vegetated terrain
Maja Kucharczyk, Chris H. Hugenholtz, Xueyang Zou
2018· article· en· Journal of Unmanned Vehicle Systems· Environmental Science
distilled prediction:candidate · noneconsensus · none
30
citations
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How this was built: Screen · Findings · About