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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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Pickering emulsions and particle stabilization
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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
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.

623 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.
623 works in the cohort · of 4,299,418page 10 of 13

Labels cover 0 of 623 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 623 of 623 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.

venueno affunlabeled
Colloidosomes from Peroxidized Pickering Emulsions
Andriy Popadyuk, Nadiya Popadyuk, Ihor Tarnavchyk, Stanislav Voronov, Andriy Voronov
2015· article· en· International Journal of Theoretical and Applied Nanotechnology· Materials Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Adsorption
Ajay K. Ray
2023· book-chapter· en· Elsevier eBooks· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
afffundno abstractunlabeled
Deterministic particle assembly on nanophotonic chips
Razie Khalesi Moghaddam, Nikhil Bhalla, Amy Q. Shen, Giovanniantonio Natale
2021· article· en· Journal of Colloid and Interface Science· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
fundno affunlabeled
Utilization of corncob as adsorbent to remove oil and grease from produced water
Roberto O. Macêdo-Júnior, Wendell Klismann Santana Campos, Filipe Smith Buarque, Fabiane Santos Serpa, Gabriel Francisco da Silva, Brenda Lohanny Passos Santos +3 more
2022· article· en· Petroleum Science and Technology· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Synthesis of Sol-Gel Derived Bioactive Foams
Pilar Sepúlveda, Julian R. Jones, Larry L. Hench
2001· article· en· Key engineering materials· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Connectivity in binary mixtures of spherical particles
Aurélien Sibellas, James Drummond, D. Mark Martinez, A.B. Phillion
2024· article· en· Tomography of Materials and Structures· Materials Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Polymer Blend Systems With an Added Solvent
Shawn M. Maguire, Hyun‐Joong Chung, Russell J. Composto
2020· book-chapter· en· Materials Science
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
The foam geometry "paradox"
Paul Grassia, J.J. Cilliers, S.J. Neethling
2001· article· en· Canadian Journal of Physics· Materials Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Porous solids for energy applications
Saman Alavi, L. E. Bove, Niall J. English, Donglin Jiang, Rocío Semino, Amadeu K. Sum
2024· article· en· The Journal of Chemical Physics· Materials Science
machine prediction:candidate · noneconsensus · none
2
citations

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