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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.

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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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Seismic Waves and Analysis
Retraction
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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.

1,137 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.
1,137 works in the cohort · of 4,299,418page 16 of 23

Labels cover 1 of 1,137 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 1,137 of 1,137 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 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
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 47414 from March 2020
Fei Gao, Ljiljana Paša‐Tolić, Donald R. Baer, Douglas Baxter, Suntharampillai Thevuthasan, Mark Engelhard +16 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 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 51616 from May 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 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
aboutno affunlabeled
Interview with Eric MacArthur
2024· other· en· UVic’s Research and Learning Repository (University of Victoria)· 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 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 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 51615 from November 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 51615 from August 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 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 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 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
affaboutunlabeled
Endeavour Extend
2025· dataset· en· NSF Seismological Facility for the Advancement of Geoscience (SAGE)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
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
CliMA/CloudMicrophysics.jl: v0.28.1
2025· other· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · 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
venueno affno abstractunlabeled
10.1016/s0967-0653(97)88392-5
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
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
State-of-the-Art – Recent Advances and Applications
J. F. Cassidy
2009· book-chapter· en· NATO science for peace and security series. C, Environmental security· 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 51612 from June 2022
Irina Novikova, Jéssica Fernandes Scortecci, Vitor Hugo Balasco Serrão, Júlio C. Borges, Sean Mulligan
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
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