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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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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.

2,949 results · 1 filter active ·
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20172025
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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.
2,949 works in the cohort · of 4,299,418page 1 of 59

Labels cover 1 of 2,949 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 2,949 of 2,949 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
REINVENT 2.0 – an AI Tool for De Novo Drug Design
Thomas Blaschke, Josep Arús‐Pous, Hongming Chen, Christian Margreitter, Christian Tyrchan, Ola Engkvist +2 more
2020· preprint· en· ChemRxiv· Computer Science
machine prediction:candidate · noneconsensus · none
53
citations
afffundunlabeled
Atlas: A Brain for Self-driving Laboratories
Riley J. Hickman, Malcolm Sim, Sergio Pablo‐García, Ivan Woolhouse, Han Hao, Zeqing Bao +4 more
2023· preprint· en· ChemRxiv· Materials Science
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
REINVENT 2.0 – an AI Tool for De Novo Drug Design
Thomas Blaschke, Josep Arús‐Pous, Hongming Chen, Christian Margreitter, Christian Tyrchan, Ola Engkvist +2 more
2020· preprint· en· ChemRxiv· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
affunlabeled
REINVENT 2.0 – an AI Tool for De Novo Drug Design
Thomas Blaschke, Josep Arús‐Pous, Hongming Chen, Christian Margreitter, Christian Tyrchan, Ola Engkvist +2 more
2020· preprint· en· ChemRxiv· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
On the climate impacts of blue hydrogen production
Christian Bauer, Karin Treyer, Cristina Antonini, Joule Bergerson, Matteo Gazzani, Emre Gençer +10 more
2021· preprint· en· ChemRxiv· Energy
machine prediction:candidate · noneconsensus · none
12
citations

How this was built: Screen · Findings · About