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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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Machine Learning in Materials Science
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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.

1,108 results · 1 filter active ·
Categories
Machine labels · sparse coverage
Evidence
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,108 works in the cohort · of 4,299,418page 1 of 23

Labels cover 4 of 1,108 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 1,108 of 1,108 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Machine learning phases of matter
2017· article· en· Nature Physics· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · none
1,474
citations
affunlabeled
QSAR without borders
2020· review· en· Chemical Society Reviews· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
852
citations
afffundno abstractunlabeled
Machine learning for a sustainable energy future
2022· review· en· Nature Reviews Materials· Materials Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrity+insufficient_payloadconsensus · metaepi_narrow
468
citations
affunlabeled
The 2019 materials by design roadmap
2018· article· en· Journal of Physics D Applied Physics· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · none
343
citations
affunlabeled
Roadmap on multiscale materials modeling
2020· article· en· Modelling and Simulation in Materials Science and Engineering· Materials Science
distilled prediction:candidate · noneconsensus · none
203
citations
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How this was built: Screen · Findings · About