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
Soil Carbon and Nitrogen Dynamics
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.

3,750 results · 1 filter active ·
Results by year
20002025
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.
3,750 works in the cohort · of 4,299,418page 44 of 75

Labels cover 11 of 3,750 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 3,750 of 3,750 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.

afffundunlabeled
Early season soil microbiome best predicts wheat grain quality
Numan Ibne Asad, Xiaobo Wang, Jessica Dozois, Hamed Azarbad, Philippe Constant, Étienne Yergeau
2022· article· en· FEMS Microbiology Ecology· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Enhanced N2O Production Induced by Soil Salinity at a Specific Range
Yawei Li, Junzeng Xu, Boyi Liu, Haiyu Wang, Zhiming Qi, Qi Wei +2 more
2020· article· en· International Journal of Environmental Research and Public Health· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
afffundno abstractunlabeled
Mapping soil nitrogen fractionation
Sina M. Adl, Min Liu, Xingliang Xu
2020· article· en· Rhizosphere· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Global Root Traits (GRooT) Database
Nathaly R. Guerrero‐Ramírez, Liesje Mommer, Grégoire T. Freschet, Colleen M. Iversen, Michael McCormack, Jens Kattge +43 more
2020· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Soil macrofauna communities in Brazilian land-use systems
George Gardner Brown, Wilian Demetrio, Quentin Gabriac, Amarildo Pasini, Vanesca Korasaki, Lenita J. Oliveira +54 more
2024· article· en· Biodiversity Data Journal· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations
affvenueaboutunlabeled
Saskatchewan forest carbon sequestration project
Tony C. Lemprière, Mark Johnston, Al Willcocks, Bryan E.C. Bogdanski, Deb Bisson, Mike Apps +1 more
2002· article· en· The Forestry Chronicle· Agricultural and Biological Sciences
machine prediction:candidate · noneconsensus · none
10
citations

How this was built: Screen · Findings · About