MétaCan
Menu
Cohort builder

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.

Search term
Author
Year range
Sort
Language
Type
Field
Venue
International Journal of Chemistry
Topic
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

542 results · 1 filter active ·
Results by year
20012025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
542 works in the cohort · of 4,299,418page 10 of 11

Labels cover 0 of 542 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 542 of 542 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.

venueaboutno affunlabeled
Reviewer Acknowledgements
Albert John
2018· article· en· International Journal of Chemistry· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Synthesis of Cacalol
Ajoy K. Banerjee, Liadis Bedoya, Alexis Maldonado, Lisbeth Mendoza, Elvia V. Cabrera
2025· article· en· International Journal of Chemistry· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Scalable Route to Chiral Phosphoramidites
Sergiy Krasutsky, Sheila H. Jacobo
2016· article· en· International Journal of Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Reviewer Acknowledgements
Albert John
2017· article· en· International Journal of Chemistry· Chemistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Reviewer Acknowledgements
Albert John
2018· article· en· International Journal of Chemistry· Chemistry
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Preliminary Evaluation of the Silica and Others Chemical Constituents of the Lyophilized Tea of Equisetum Arvense and Application of Its Biomass Wastes for Copper Adsorption
Camila Muraroto Monteiro, Priscila Fernanda Pereira Barbosa, Denys Ribeiro de Oliveira, Leonardo Lataro Paim, Ana Paula Rizzato Nakamura, Devaney Ribeiro do Carmo
2018· article· en· International Journal of Chemistry· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Categorization of Boranes Into Clan Series
Enos Masheija Rwantale Kiremire, Ivan Lule
2020· article· en· International Journal of Chemistry· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Reviewer Acknowledgements
Albert John
2018· article· en· International Journal of Chemistry· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About