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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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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.

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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 1 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.

afffundunlabeled
LiDAR remote sensing of forest structure
Kevin Lim, Paul Treitz, Michael A. Wulder, Benoît St-Onge, Martin Flood
2003· article· en· Progress in Physical Geography Earth and Environment· Environmental Science
machine prediction:candidate · noneconsensus · none
1,101
citations
aboutno affunlabeled
A large carbon sink in the woody biomass of Northern forests
Ranga B. Myneni, Jing Dong, Compton J. Tucker, Robert K. Kaufmann, Pekka E. Kauppi, Jari Liski +3 more
2001· article· en· Proceedings of the National Academy of Sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
688
citations
afffundvenueunlabeled
The role of LiDAR in sustainable forest management
Michael A. Wulder, Christopher W. Bater, Nicholas C. Coops, Thomas Hilker, Joanne C. White
2008· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
385
citations
affunlabeled
Terrestrial laser scanning of rock slope instabilities
Antonio Abellán, Thierry Oppikofer, Michel Jaboyedoff, Michael Lim, Matthew Lato
2013· article· en· Earth Surface Processes and Landforms· Environmental Science
machine prediction:candidate · noneconsensus · none
357
citations
affno abstractunlabeled
Energy-Based Geometric Multi-model Fitting
Hossam Isack, Yuri Boykov
2011· article· en· International Journal of Computer Vision· Environmental Science
machine prediction:candidate · noneconsensus · none
314
citations
affunlabeled
Spatial Analysis
Mark R. T. Dale, Marie‐Josée Fortin
2014· book· en· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
227
citations

How this was built: Screen · Findings · About