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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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Magnetic Properties 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.

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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.

441 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.
441 works in the cohort · of 4,299,418page 4 of 9

Labels cover 1 of 441 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 441 of 441 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Optimization of Magnetoelastic Torquemeter Designs
Xavier Tousignant, David Ménard
2020· article· en· IEEE Transactions on Magnetics· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · none
8
citations
affunlabeled
Challenges in Modeling of Large Synchronous Machines
Jemimah C. Akiror, Pragasen Pillay, Arezki Merkhouf
2017· article· en· IEEE Transactions on Industry Applications· Materials Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Generalizable DNN based multi-material Hysteresis Modelling
Saikou Cesay, Paul Teng, Ruoli Wang, Haupeng Yue, Arbaaz Khan, David A. Lowther
2022· article· en· 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC)· Materials Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
7
citations
affunlabeled
Topological Transformer Leakage Modeling With Losses
Mathieu Lambert, Manuel Martinez-Duro, Afshin Rezaei‐Zare, Jean Mahseredjian
2020· article· en· IEEE Transactions on Power Delivery· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · none
5
citations
affunlabeled
Magnetization vector directions in a steel cube
Weihua Mao, D.L. Atherton
2000· article· en· IEEE Transactions on Magnetics· Materials Science
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
5
citations
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How this was built: Screen · Findings · About