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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 7 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 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 51615 from September 2022
Irina Novikova, Walid A. Houry, Jeffrey Lynham, Marim Barghash, Mark Mabanglo, Thiago Vargas Seraphim +1 more
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
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 51615 from November 2020
Irina Novikova, Walid A. Houry, Jeffrey Lynham, Marim Barghash, Mark Mabanglo, Thiago Vargas Seraphim +1 more
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
affunlabeled
Development of a 25-mA, 12% duty factor(df) H-source for LANSCE.
A.H. Arvin, E. Chacon-Golcher, E. Geros, Edward Jacobson, B. Meyer, Peter Naffziger +5 more
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 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 51615 from November 2020
Irina Novikova, Walid A. Houry, Jeffrey Lynham, Marim Barghash, Mark Mabanglo, Thiago Vargas Seraphim +1 more
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
aboutno affunlabeled
Solar Electricity: The Power of Choice, Second Quarter 2001
Sungkon Moon, G. Cook, K. Schnelten
2001· book· 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 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 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 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 51615 from June 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)· Environmental Science
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 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
affaboutunlabeled
AmeriFlux FLUXNET-1F CA-EM1 Newdale Manitoba
Pascal Badiou
2024· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Biochemistry, Genetics and Molecular Biology
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
Multiphase flow simulation of ignition of solid explosive
Qisu Zou, D. Z. Zhang, N. T. Padial‐Collins, W. B. VanderHeyden
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 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
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 51615 from March 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 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 50379 from July 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 60473 from January 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 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 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 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
affno abstractunlabeled
Data for EMSL Project 50379 from December 2023
Scott Baker, Ashley Robinson, Adrian Tsang, Ronald P. de Vries, Miia Mäkelä, María Victoria Aguilar Pontes +2 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 50463 from February 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)· 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

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