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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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Geophysical Methods and 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.

1,000 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.
1,000 works in the cohort · of 4,299,418page 5 of 20

Labels cover 1 of 1,000 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 1,000 of 1,000 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.

venueno affunlabeled
Heterogeneity detection in an experimental clay liner
Dominique Guyonnet, Jean‐Christophe Gourry, Lucien Bertrand, Nadia Amraoui
2003· article· en· Canadian Geotechnical Journal· Engineering
machine prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
Parametric Scattering Networks
Shanel Gauthier, Benjamin Therien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky +2 more
2022· article· en· 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)· Engineering
machine prediction:candidate · noneconsensus · none
16
citations
afffundunlabeled
A WEBGIS TO SUPPORT GPR 3D DATA ACQUISITION: A FIRST STEP FOR THE INTEGRATION OFUNDERGROUND UTILITY NETWORKS IN 3D CITY MODELS
Paulo Guilherme Tabarro, J. Pouliot, Richard Fortier, L.-M. Losier
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· Engineering
machine prediction:candidate · noneconsensus · none
16
citations

How this was built: Screen · Findings · About