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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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Mineral Processing and Grinding
Retraction
Abstract
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Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

842 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.
842 works in the cohort · of 4,299,418page 1 of 17

Labels cover 1 of 842 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 842 of 842 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Applied Mineral Inventory Estimation
Alastair J. Sinclair, Garston H. Blackwell
2002· book· en· Cambridge University Press eBooks· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
178
citations
afffundno abstractunlabeled
A deep learning approach for rock fragmentation analysis
Thomas Bamford, Kamran Esmaeili, Angela P. Schoellig
2021· article· en· International Journal of Rock Mechanics and Mining Sciences· Engineering
distilled prediction:candidate · noneconsensus · none
97
citations
affunlabeled
Proliferation of Faulty Materials Data Analysis in the Literature
Matthew R. Linford, Vincent S. Smentkowski, John T. Grant, C. R. Brundle, Peter M. A. Sherwood, Mark C. Biesinger +16 more
2020· article· en· Microscopy and Microanalysis· Engineering
distilled prediction:candidate · noneconsensus · none
86
citations
affaboutunlabeled
Machine learning as a tool for geologists
Antoine Caté, Lorenzo Perozzi, Erwan Gloaguen, Martin Blouin
2017· article· en· The Leading Edge· Engineering
distilled prediction:candidate · noneconsensus · none
80
citations
aboutno affunlabeled
Chemical Product and Process Modeling
2013· paratext· en· Chemical Product and Process Modeling· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
68
citations
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How this was built: Screen · Findings · About