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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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Geophysics and Gravity Measurements
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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.

1,868 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.
1,868 works in the cohort · of 4,299,418page 22 of 38

Labels cover 0 of 1,868 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 1,868 of 1,868 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
venueno affno abstractunlabeled
10.1016/s0967-0653(97)83984-1
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(98)81070-3
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)85688-2
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Pyrometer
Muriel Gargaud, William M. Irvine, Ricardo Amils, Daniele L. Pinti, José Cernicharo Quintanilla, Daniel Rouan +3 more
2015· book-chapter· en· Encyclopedia of Astrobiology· 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
Hippasteria phrygiana Parelius 1768
2016· article· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
A Brief Overview to Theory of Heights
Róbert Tenzer
2002· article· en· Communications - Scientific letters of the University of Zilina· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Zatypota bohemani
2025· article· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Volume 4 - Saudi Arabia - Zambia
2018· dataset· en· Borealis· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Delta Scuti star 38 Eri from the ground and from space
M. Paparó, Z. Kolláth, R. R. Shobbrook, J. M. Matthews, V. Antoci, J. M. Benkő +14 more
2019· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· 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
venueno affno abstractunlabeled
10.1016/s0967-0653(97)80752-1
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Использование методов гравиразведки для исследования распределения плотности серы на серных картах
Кузнецов Дмитрий Александрович, Бобров Дмитрий Сергеевич, Кузнецов Игорь Евгеньевич, Боруздина Марина Дмитриевна
2015· article· ru· Вести газовой науки· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Ophyiulus chilopogon
2017· article· en· Zenodo (CERN European Organization for Nuclear Research)· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/0967-0653(96)82120-x
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Gravity waves and turbulence
W. K. Hocking, J. Röttger, Robert D. Palmer, Toru Sato, Phillip B. Chilson
2016· book-chapter· en· Cambridge University Press eBooks· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(97)82802-5
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations

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