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
Topic
Solar-Powered Water Purification Methods
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.

355 results · 1 filter active ·
Results by year
20022025
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.
355 works in the cohort · of 4,299,418page 1 of 8

Labels cover 1 of 355 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 355 of 355 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.

fundno affunlabeled
Fog Harvesting with Harps
Weiwei Shi, M. J. Anderson, Joshua B. Tulkoff, Brook S. Kennedy, Jonathan B. Boreyko
2018· article· en· ACS Applied Materials & Interfaces· Energy
machine prediction:candidate · noneconsensus · none
222
citations
fundno affunlabeled
Kinetics of Sorption in Hygroscopic Hydrogels
Carlos D. Díaz‐Marín, Lenan Zhang, Zhengmao Lu, Mohammed Alshrah, Jeffrey C. Grossman, Evelyn N. Wang
2022· article· en· Nano Letters· Energy
machine prediction:candidate · noneconsensus · none
188
citations
afffundno abstractunlabeled
Performance investigation of a solar pond
Mehmet Karakılçık, İbrahim Dinçer, Marc A. Rosen
2005· article· en· Applied Thermal Engineering· Energy
machine prediction:candidate · noneconsensus · none
125
citations
affunlabeled
Giant and explosive plasmonic bubbles by delayed nucleation
Yuliang Wang, Mikhail E. Zaytsev, Guillaume Lajoinie, Hai Le The, Jan C. T. Eijkel, Albert van den Berg +5 more
2018· article· en· Proceedings of the National Academy of Sciences· Energy
machine prediction:candidate · noneconsensus · none
119
citations
afffundno abstractunlabeled
Exergetic performance analysis of a solar pond
Mehmet Karakılçık, İbrahim Dinçer
2007· article· en· International Journal of Thermal Sciences· Energy
machine prediction:candidate · noneconsensus · none
69
citations
fundno affno abstractunlabeled
Heat and mass transfer in hygroscopic hydrogels
Carlos D. Díaz‐Marín, Lenan Zhang, Bachir El Fil, Zhengmao Lu, Mohammed Alshrah, Jeffrey C. Grossman +1 more
2022· article· en· International Journal of Heat and Mass Transfer· Energy
machine prediction:candidate · noneconsensus · none
69
citations

How this was built: Screen · Findings · About