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 9 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.

affno abstractunlabeled
Data for EMSL Project 51072 from January 2021
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä
2021· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51281 from September 2020
Theo Humphreys, Sriram Subramaniam, Sagar Chittori, Xing Zhu, Alison Berezuk, Shanti Swaroop Srivastava
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51366 from February 2022
Steven Hallam, Hugh Mitchell, Ryan Ziels, Daniel Mulat, Brandon Kieft, Elizabeth McDaniel
2022· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51300 from May 2020
Harry Scott, Nathanael A. Caveney, L.J. Worrall, Craig S. Robb, N.C.J. Strynadka
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51065 from July 2020
Laura Hug
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 48865 from February 2023
Steven Hallam, Kishori M. Konwar, Dongjae Kim, Aria S Hahn
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A burner for the combustion of spent tall oil soap
Patrick M. Hughes, J K Wong, B. Moffatt, G Belanger, Debbie Soriano
2003· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51065 from July 2020
Laura Hug
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50379 from February 2020
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, María Victoria Aguilar Pontes
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50967 from March 2023
Steven Hallam
2023· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50967 from March 2023
Steven Hallam
2023· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50463 from November 2019
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, Mikael Andersen
2019· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51281 from March 2020
Theo Humphreys, Sriram Subramaniam, Sagar Chittori, Xing Zhu, Alison Berezuk, Shanti Swaroop Srivastava
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 47981 from February 2023
Galya Orr, Douglas Baxter, Steven Hallam, Scott Baker, Errol Robinson, Angela Norbeck +6 more
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51366 from February 2022
Steven Hallam, Hugh Mitchell, Ryan Ziels, Daniel Mulat, Brandon Kieft, Elizabeth McDaniel
2022· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51281 from August 2020
Theo Humphreys, Sriram Subramaniam, Sagar Chittori, Xing Zhu, Alison Berezuk, Shanti Swaroop Srivastava
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Element 74, the Wolfram Versus Tungsten Controversy
N.E. Holden
2008· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Chemistry
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50379 from February 2020
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, María Victoria Aguilar Pontes
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50463 from March 2021
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, Mikael Andersen
2021· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Pipeline security and emergency planning/response
S Lee, C Van Egmond, Lyanne Jansen, Jasmine Travers
2003· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Explosive pulsed power system for new radiation sources.
H. Oona, J.H. Goforth, G. C. Idzorek, D.H. Herrera, J.C. King, Eduardo López +2 more
2004· paratext· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51065 from July 2020
Laura Hug
2020· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 48865 from February 2023
Steven Hallam, Kishori M. Konwar, Dongjae Kim, Aria S Hahn
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
CCRS Landcover Maps From Satellite Data
Alexander P. Trishchenko
2008· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from April 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51615 from February 2021
Irina Novikova, Walid A. Houry, Jeffrey Lynham, Marim Barghash, Mark Mabanglo, Thiago Vargas Seraphim +1 more
2021· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51072 from May 2021
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä
2021· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50967 from March 2023
Steven Hallam
2023· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 51072 from May 2021
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä
2021· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 50463 from November 2019
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, Mikael Andersen
2019· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Dynamic simulation of a CANDU 6 reactor
M. Borairi, Jan‐Dong Tseng, M Fonooni
2008· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Knowledge typology for imprecise probabilities.
George D. Wilson, Leslie Zucker
2002· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 48865 from February 2023
Steven Hallam, Kishori M. Konwar, Dongjae Kim, Aria S Hahn
2023· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Physics and Astronomy
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from April 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 49375 from March 2020
John C. Linehan, Gregory K. Schenter, Wendy J. Shaw, Edo Apra, Garry W. Buchko, Bojana Ginovska +27 more
2020· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Data for EMSL Project 60473 from March 2024
Heather Olson, Lee Ann McCue, Stephen Callister, Mary McGown, Vivian Lin, Erik Hom +4 more
2024· dataset· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About