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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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2D Materials 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.

654 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.
654 works in the cohort · of 4,299,418page 6 of 14

Labels cover 0 of 654 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 654 of 654 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.

affunlabeled
Interlayer magnetism in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Fe</mml:mi><mml:mrow><mml:mn>3</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi>GeTe</mml:mi><mml:mn>2</mml:mn></mml:msub></mml:mrow></mml:math>
Xiangru Kong, Giang D. Nguyen, Jinhwan Lee, Changgu Lee, Stuart Calder, Andrew F. May +4 more
2020· article· lv· Physical Review Materials· Materials Science
machine prediction:candidate · noneconsensus · none
20
citations
afffundunlabeled
How high is a MoSe <sub>2</sub> monolayer?
Megan Cowie, Rikke Plougmann, Yacine Benkirane, Léonard Schué, Zeno Schumacher, Peter Grütter
2021· article· en· Nanotechnology· Materials Science
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Scaling Limit of Bilayer Phosphorene FETs
Demin Yin, Gyuchull Han, Youngki Yoon
2015· article· en· IEEE Electron Device Letters· Materials Science
machine prediction:candidate · noneconsensus · none
19
citations
afffundunlabeled
Dephasing in strongly anisotropic black phosphorus
N. Hemsworth, V. Tayari, Francesca Telesio, Shao-Hua Xiang, Stefano Roddaro, Maria Caporali +6 more
2016· article· en· Physical review. B./Physical review. B· Materials Science
machine prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
Laser‐Directed Assembly of Nanorods of 2D Materials
Khaled H. Ibrahim, Inna Novodchuk, Kissan Mistry, Michael D. Singh, Chris D. Ling, Joseph Sanderson +3 more
2019· article· en· Small· Materials Science
machine prediction:candidate · noneconsensus · none
18
citations
afffundunlabeled
Two-dimensional tellurium-based diodes for RF applications
Abdelrahman M. Askar, Paula Palacios, Francisco Pasadas, Mohamed Saeed, Mohammad Reza Mohammadzadeh, Renato Negra +1 more
2023· article· en· npj 2D Materials and Applications· Materials Science
machine prediction:candidate · noneconsensus · none
17
citations

How this was built: Screen · Findings · About