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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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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 17 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 51616 from October 2020
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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 51616 from October 2020
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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 51714 from May 2021
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51616 from November 2021
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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 51714 from April 2021
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51616 from November 2021
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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
Proceedings of the Toronto TEAM/ACES Workshop
L. Turner
2025· article· en· OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Molecular spectroscopy of actinide-ketimido complexes
R.E. Da Re, Aurora E. Clark, D E Morris, K.C. Jantunen, I. Castro-Rodriguez, Jeffery T. Golden +3 more
2004· 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 51714 from September 2021
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51616 from October 2020
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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 51714 from March 2022
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51714 from March 2022
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51616 from October 2020
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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 51714 from May 2021
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51714 from April 2021
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51714 from November 2021
L.J. Worrall, N.C.J. Strynadka, Joshua Jenkins
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 51616 from October 2021
Calvin K. Yip, Udit Dalwadi, Diana Vasyliuk
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

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