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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.

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.

965 results · 1 filter active ·
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20122025
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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.
965 works in the cohort · of 4,299,418page 7 of 20

Labels cover 83 of 965 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 965 of 965 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
The Cytoscape app article collection
Alexander R. Pico, Gary D. Bader, Barry Demchak, Oriol Guitart, Timothy Hull, William J.R. Longabaugh +9 more
2014· preprint· en· F1000Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
A SNP resource for studying North American moose
Ted Kalbfleisch, Brenda M. Murdoch, Timothy P. L. Smith, James D. Murdoch, Michael P. Heaton, Stephanie McKay
2018· preprint· en· F1000Research· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
11
citations
fundno affunlabeled
Digital Rock Art: beyond 'pretty pictures'
Joana Valdez-Tullett, Sofia Figueiredo Persson
2023· preprint· en· F1000Research· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
11
citations
afffundgemma · open_sciencegpt · scholarly_communication+open_sciencemodels split
Making science public: a review of journalists’ use of Open Science research
Alice Fleerackers, Natascha Chtena, Stephen Pinfield, Juan Pablo Alperín, Germana Barata, Monique Batista de Oliveira +1 more
2023· review· en· F1000Research· Decision Sciences
machine prediction:candidate · metaresearch+open_scienceconsensus · none
10
citations
afffundunlabeled
Chemical genetics and strigolactone perception
Shelley Lumba, Michael Bunsick, Peter McCourt
2017· preprint· en· F1000Research· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About