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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.

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

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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 ·
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20002025
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Machine labels · sparse coverage
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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 11 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 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 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 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 49321 from March 2020
Chongmin Wang, Donghai Mei, Wu Xu, Xiaolin Li, He Yang, Jianming Zheng +17 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 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 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 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 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 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 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 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
Nuclear fuel waste policy in Canada. Chapter 6
Peter A. Brown, Carmel Létourneau
2001· 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 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 51612 from June 2021
Irina Novikova, Jéssica Fernandes Scortecci, Vitor Hugo Balasco Serrão, Júlio C. Borges, Sean Mulligan
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 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 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 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 50463 from February 2023
Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, Mikael Andersen
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 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 47414 from March 2020
Fei Gao, Ljiljana Paša‐Tolić, Donald R. Baer, Douglas Baxter, Suntharampillai Thevuthasan, Mark Engelhard +17 more
2020· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · 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 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 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
affunlabeled
Modulation of Sound by Sound… in Rocks?!
James A. Ten Cate, Alison Malcolm, Xuan Feng, Michael C. Fehler
2016· paratext· 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 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
fundno affunlabeled
A Direct Top-Quark Width Measurement from Lepton + Jets Events at CDF II
T Aaltonen, B Alvarez Gonzalez, S Amerio, D Amidei, A Anastassov, A Annovi +5 more
2010· 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
affunlabeled
Computation of maps from surface field data
P L Walstrom, Alex J. Dragt
2004· paratext· 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 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
affunlabeled
Measurements of Low-Enriched Uranium Holdup.
A. P. Belian, T.D. Reilly, Paolo Russo, Steve Tobin
2005· 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 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 51366 from January 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)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Latitudinal distribution of the recent Arctic warming
Petr Chýlek, Glen K Lesins, Muyin Wang
2010· paratext· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

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