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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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Journal of Molecular Modeling
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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.

105 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.
105 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 105 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 105 of 105 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.

affno abstractunlabeled
When theory meets experiment: the PD-1 challenge
Marawan Ahmed, Khaled Barakat
2017· article· en· Journal of Molecular Modeling· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Temperature-dependent failure of atomically thin MoTe2
Azeem Haider, Ahmad Fatehi Ali Mohammed Hezam, Md Akibul Islam, Yeasir Arafat, Mohammad Tanvirul Ferdaous, Sayedus Salehin +1 more
2024· article· en· Journal of Molecular Modeling· Materials Science
machine prediction:candidate · noneconsensus · none
4
citations
afffundno abstractunlabeled
On the link between the reaction force constant and conceptual DFT
Carlos Cárdenas, Paul W. Ayers, Debajit Chakraborty, Tatiana Gómez, Andrea Echeverri, Francisco Muñoz +1 more
2024· article· en· Journal of Molecular Modeling· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
2
citations

How this was built: Screen · Findings · About