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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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Computational Drug Discovery Methods
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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
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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.

2,238 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.
2,238 works in the cohort · of 4,299,418page 17 of 45

Labels cover 4 of 2,238 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 2,238 of 2,238 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundunlabeled
Robust Strategy for Hit-to-Lead Discovery: NMR for SAR
Sacha Thierry Larda, Yann Ayotte, Maria M. Denk, Paul Coote, Gregory J. Heffron, David Bendahan +8 more
2023· article· en· Journal of Medicinal Chemistry· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Nonprofit foundations spur translational research
Paola Zaratin, Mario Alberto Battaglia, Maria P. Abbracchio
2014· article· en· Trends in Pharmacological Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Protein–ligand data at scale to support machine learning
A.M. Edwards, Dafydd R. Owen, Leili Zhang, Damian W. Young, Timothy M. Willson, James Wellnitz +69 more
2025· review· en· Nature Reviews Chemistry· Computer Science
distilled prediction:candidate · metaepi_narrow+open_science+research_integrityconsensus · none
12
citations
fundno affunlabeled
Crowdsourced mapping extends the target space of kinase inhibitors
Anna Cichońska, Balaguru Ravikumar, Robert J. Allaway, Sung‐Joon Park, Fang Wan, Olexandr Isayev +21 more
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
11
citations
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How this was built: Screen · Findings · About