MétaCan
ENFR
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.

Export CSVExport JSONAPI query

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
Cryospheric studies and observations
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.

4,944 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.
4,944 works in the cohort · of 4,299,418page 97 of 99

Labels cover 4 of 4,944 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 4,944 of 4,944 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.

venueno affno abstractunlabeled
10.1016/s0967-0653(98)85619-6
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Modeling of the Cryosphere: Glaciers and Ice Sheets II
Ian Hewitt, Sophie Nowicki, Stephen Price, Christian Schoof, Marianne Haseloff
2019· article· en· AGU Fall Meeting 2019· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on tc-2021-124
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on tc-2021-359
Silvan Leinss
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · metaresearchconsensus · none
0
citations
affunlabeled
Reply on CC1
Inà ̈s N. Otosaka, Andrew Shepherd, Erik R. Ivins, Nicole‐Jeanne Schlegel, Charles Amory, M. R. van den Broeke +59 more
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
delta to gamma Comment on tc-2023-28
Koi McArthur
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Reply on RC2
Georg Lackner
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
The Challenge of Climate Change
Robert Guttmann
2018· book-chapter· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on tc-2021-170
Анна Деркачева, Fabien Gillet‐Chaulet, J. Mouginot, Eliot Jager, Nathan Maier, Samuel Cook
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC3
Alia L. Khan
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Maxime Beaudoin-Galaise
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on tc-2021-143
Mauri Pelto
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Reply on RC1
Juha Lemmetyinen
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on nhess-2021-330
Markus Eckerstorfer
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Anja Løkkegaard
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Comment on egusphere-2022-764
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2451
Natasha Valencic, Linda Pan, Konstantin Latychev, Natalya Gomez, Evelyn Powell, J. X. Mitrovica
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Comment on tc-2021-170
Анна Деркачева, Fabien Gillet‐Chaulet, J. Mouginot, Eliot Jager, Nathan Maier, Samuel Cook
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC1
Vasana Dharmadasa
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on tc-2021-124
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Brian Menounos
2024· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Alain Royer
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Sara E. Darychuk
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundaboutno affunlabeled
Reply on CC4
Tamara Pico
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on essd-2021-176
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply on RC1
Brianna Rick
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on essd-2022-361
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Reply on RC1
Tamara Annina Gerber
2021· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2023-2724
2024· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Reply on CC1
Florian Herla
2023· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on tc-2021-211
Ingalise Kindstedt, K. M. Schild, Dominic Winski, K. J. Kreutz, Luke Copland, Seth Campbell +1 more
2022· peer-review· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
← previousnext →

How this was built: Screen · Findings · About