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
Seismic Imaging and Inversion Techniques
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.

3,388 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.
3,388 works in the cohort · of 4,299,418page 40 of 68

Labels cover 2 of 3,388 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 3,388 of 3,388 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
Transposable element pangenome
2022· other· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)81703-0
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
1
citations
aboutno affunlabeled
3D Diffraction Signature of VHMS Deposits
Alireza Malehmir, Gilles Bellefleur
2009· article· en· 71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
High Resolution Imaging
Mauricio D. Sacchi, J. Wang, Henning Kuehl
2004· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Surface Waves, Head Waves, and Normal Modes
Edward S. Krebes
2019· book-chapter· en· Cambridge University Press eBooks· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Penobscot Interpretation Dataset
Laís Baroni, Reinaldo Mozart Silva, Rodrigo S. Ferreira, Daniel Chevitarese, Daniela Szwarcman, Emílio Vital Brazil
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Shallow VSP Survey using a Small Vibrator Source
Joe Wong, Soo K. Miong, Robert R. Stewart, Eric V. Gallant, Kevin Hall
2009· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affaboutunlabeled
VSP and Well Logs from a Shallow Test Well
Joe Wong, Soo K. Miong, L. R. Bentley, Robert R. Stewart
2008· article· en· Symposium on the Application of Geophysics to Engineering and Environmental Problems 2008· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
1
citations
← previousnext →

How this was built: Screen · Findings · About