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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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Carbon and Quantum Dots 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.

affaffiliation
fundfunder
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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.

328 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.
328 works in the cohort · of 4,299,418page 2 of 7

Labels cover 0 of 328 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 328 of 328 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
Carbon dots in drug delivery and therapeutic applications
Hemant Singh, Mahmood Razzaghi, Hamed Ghorbanpoor, Aliakbar Ebrahimi, Hüseyin Avcı, Mohsen Akbari +1 more
2025· review· en· Advanced Drug Delivery Reviews· Materials Science
machine prediction:candidate · noneconsensus · none
71
citations
afffundunlabeled
Chiroptical luminescent nanostructured cellulose films
Erlantz Lizundia, Thanh‐Dinh Nguyen, José Luis Vilas‐Vilela, Wadood Y. Hamad, Mark J. MacLachlan
2016· article· en· Materials Chemistry Frontiers· Materials Science
machine prediction:candidate · noneconsensus · none
60
citations
afffundunlabeled
Nanostructured Temperature Indicator for Cold Chain Logistics
Anastasiya G. Navrotskaya, Darya D. Aleksandrova, Mahshid Chekini, Ilya Yakavets, Sina Kheiri, Elena F. Krivoshapkina +1 more
2022· article· en· ACS Nano· Materials Science
machine prediction:candidate · noneconsensus · none
47
citations

How this was built: Screen · Findings · About