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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 18 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.

venueno affno abstractunlabeled
10.1016/0967-0653(96)89884-x
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)83673-3
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Detection Of Buried Timber Trestles Using Surface Waves
Fernando Tallavó, Giovanni Cascante, Mahesh D. Pandey
2008· article· en· 21st EEGS Symposium on the Application of Geophysics to Engineering and Environmental Problems· 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 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 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 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
affaboutunlabeled
Offshore British Columbia microseismicity
Geena Littel
2021· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
A PALEOMAGNETIC FRAMEWORK FOR BAJA BRITISH COLUMBIA MODELS
Bernie Housen, Basil Tikoff, Julie Maxson
2022· article· en· Abstracts with programs - Geological Society of America· 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 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 affno abstractunlabeled
Seismic Ambient Noise Tomography of Canada
Honn Kao, S. Shan, John Townend, Fan‐Chi Lin, M. H. Ritzwoller
2008· article· en· AGU Fall Meeting Abstracts· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Exploring the limits of fiber-optic sensing in Cascadia: Borehole passive seismic monitoring using co-located DAS, low noise optical accelerometers, and geophones
Julia Correa, Chet Hopp, Nathaniel J. Lindsey, C. E. Layland-Bachmann, Verónica Rodrı́guez Tribaldos, Martyn Dade‐Robertson +6 more
2020· article· en· Publication Database GFZ (GFZ German Research Centre for Geosciences)· 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 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
aboutno affunlabeled
Trend 1999 - 2009. Statistics Canada. CANSIM: Retail and Wholesale - Retail Sales by Type of Store | Country: Canada | Table: Annual retail store survey, financial estimates by store type and trade group based on the North American Industry Classification System (NAICS) | Variable: Purchases, Non-chain stores, Used and recreational motor vehicle and parts dealers | Units: , 1999-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-177.
2015· other· en· Data Planet· 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 affno abstractunlabeled
Shear Wave Splitting across the Mackenzie Mountains, Canada
Andrew R Bolton, D. R. Witt, D. Schutt, R. C. Aster, Jeffrey T. Freymueller, Joel F. Cubley
2019· article· en· AGUFM· 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
venueno affno abstractunlabeled
10.1016/0967-0653(95)97444-x
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
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
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