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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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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 19 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.

affno abstractunlabeled
Data fusion-based risk assessment framework: an example of benzene
M. Shafiqul Islam, Amin Zargar, Roberta Dyck, Asish Mohapatra, Rehan Sadiq
2012· article· en· International Journal of Systems Assurance Engineering and Management· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Neural Networks in Bioinformatics
Ke Chen, Lukasz Kurgan
2012· book-chapter· en· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Probabilistic bisimilarity distances
Franck van Breugel
2017· article· en· ACM SIGLOG News· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Maximum Entropy in Drug Discovery
Chih‐Yuan Tseng, Jack A. Tuszyński
2014· article· en· Entropy· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
DRUGPATH: The Drug Gene Pathway Meta-Database
Rajeev Jaundoo, Travis J. A. Craddock
2020· article· en· International Journal of Molecular Sciences· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
afffundunlabeled
Revisiting inconsistency in large pharmacogenomic studies
Zhaleh Safikhani, Petr Smirnov, Mark Freeman, Nehmé El-Hachem, Adrian She, Anna Goldenberg +7 more
2017· preprint· en· F1000Research· Computer Science
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · none
8
citations
afffundno abstractunlabeled
Adversarial deep evolutionary learning for drug design
Sheriff Abouchekeir, Andrew Vu, Muhetaer Mukaidaisi, Karl Grantham, Alain Tchagang, Yifeng Li
2022· article· en· Biosystems· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About