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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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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.

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venuejournal
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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 ·
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20002025
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Machine labels · sparse coverage
Evidence
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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 17 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.

aboutno affunlabeled
Issue Information ‐ Table of Contents
2019· paratext· en· Glia· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
High-Tc superconductor candidates proposed by machine learning
2024· preprint· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Issue Information ‐ Table of Contents
2019· paratext· en· Glia· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Issue Information ‐ Table of Contents
2019· paratext· en· Glia· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Issue Information ‐ Table of Contents
2019· paratext· en· Glia· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
To Bond or Not to Bond – What If the Temperature is the Question?
Sofia Saeed Zaman, András Bödi, Paul M. Michael Mayer
2024· preprint· en· SSRN Electronic Journal· Materials Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+research_integrity+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
CEEA 2018 Systematic Review Workshop Materials
Sarah Parker, Ursula Ellis
2018· article· en· OSF Preprints (OSF Preprints)· Materials Science
distilled prediction:candidate · metaresearch+metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Bank Receipt
2015· other· en· Digital Commons - ACU (Abilene Christian University)· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
(Coulomb) LPED-SME Machine Learning Prediction
2025· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Eight Types Of Bears Compared - Identification Guide
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Crucella mirabunda Whalen & Carter 2002
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
PM_133107_B_Machelen
2021· other· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
BIF
Muriel Gargaud, William M. Irvine, Ricardo Amils, Daniele L. Pinti, José Cernicharo Quintanilla, Daniel Rouan +3 more
2015· book-chapter· en· Encyclopedia of Astrobiology· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
01dat3.txt
Gordon Anderson
2011· dataset· en· Harvard Dataverse· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
AI FOR ADVANCED MANUFACTURING AND INDUSTRIAL APPLICATIONS
2025· book· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affvenueaboutunlabeled
Dr. Ursula Martius Franklin (1921-2016)
Monique Frize
2019· article· en· Scientia Canadensis Canadian Journal of the History of Science Technology and Medicine· Materials Science
distilled prediction:candidate · sts+insufficient_payloadconsensus · none
0
citations
affunlabeled
Euura latibasis
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
High-Tc superconductor candidates proposed by machine learning
2024· preprint· en· Zenodo (CERN European Organization for Nuclear Research)· Materials Science
distilled prediction:candidate · metaepi_narrow+sts+scholarly_communication+open_science+insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Atomic Cluster Expansion without Self-Interaction
Cheuk Hin Ho, Timon S. Gutleb, Christoph Ortner
2024· preprint· en· arXiv (Cornell University)· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations

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