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
OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
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.

1,180 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.
1,180 works in the cohort · of 4,299,418page 3 of 24

Labels cover 5 of 1,180 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 1,180 of 1,180 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.

affaboutunlabeled
AmeriFlux FLUXNET-1F CA-DB2 Delta Burns Bog 2
Sara Knox
2022· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
AmeriFlux CA-DBB Delta Burns Bog
Andreas Christen, Sara Knox
2019· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Engineering
machine prediction:candidate · noneconsensus · none
6
citations
affunlabeled
AmeriFlux CA-HPC Havikpak Creek
Oliver Sonnentag, P. Marsh
2021· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Computer Science
machine prediction:candidate · noneconsensus · none
6
citations
aboutno affunlabeled
High Density Fuel Development for Research Reactors
Daniel M. Wachs
2016· paratext· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Materials Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Cobalt-60 production in CANDU power reactors
J.R. Slack, J.L. Norton, G. Malkoske
2003· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Materials Science
machine prediction:candidate · noneconsensus · none
5
citations
afffundunlabeled
Fun with F24
Sarah M. Harrison
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Mathematics
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Organic matter concentration and composition of experimentally burned open air and muffle furnace vegetation chars across differing burn severity and feedstock types from Pacific Northwest, USA (v4).
Samantha Grieger, John D. Bailey, Morgan Barnes, Kevin D. Bladon, Brieanne Forbes, Vanessa Garayburu‐Caruso +10 more
2022· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Bombings of dams : a historical review
Abass Braimah, Ettore Contestabile
2007· review· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
aboutno affunlabeled
Arctic delta Landsat image classifications
Anastasia Piliouras, J. C. Rowland
2019· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
5
citations
affunlabeled
Design of the spoke cavity ED&D input coupler.
E. N. Schmierer, Kwok-Chi D. Chan, R.C. Gentzlinger, W.B. Haynes, F.L. Krawczyk, D.I. Montoya +3 more
2024· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
AmeriFlux CA-ARB Attawapiskat River Bog
Aaron R. Todd, Elyn Humphreys
2018· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
AmeriFlux CA-ARF Attawapiskat River Fen
Aaron R. Todd, Elyn Humphreys
2018· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
4
citations
aboutno affunlabeled
Low-GWP Refrigerants Status and Outlook
Samuel Yana Motta
2023· paratext· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affunlabeled
Development of the IBAD MgO process for HTS coated conductors
J. R. Groves, P. N. Arendt, S. R. Foltyn, Q. X. Jia, T. G. Holesinger, H. Kung +5 more
2024· paratext· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
4
citations

How this was built: Screen · Findings · About