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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 Imaging and Inversion Techniques
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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.

3,388 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.
3,388 works in the cohort · of 4,299,418page 33 of 68

Labels cover 2 of 3,388 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 3,388 of 3,388 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.

aboutno affunlabeled
FWI using reflections for deep velocity model updates
Yang Yang, J. Ramos-Martínez, N. D. Whitmore, Alejandro Valenciano, Guanghui Huang, Nizar Chemingui
2020· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
aboutno affunlabeled
Methods of Multicomponent Seismic Data Interpretation
Robert R. Stewart
2008· article· en· 70th EAGE Conference and Exhibition incorporating SPE EUROPEC 2008· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Deep neural networks for 1D impedance inversion
Vladimir Puzyrev, Anton Egorov, A. Pirogova, Chris Elders, Claus Otto
2019· article· en· ASEG Extended Abstracts· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Neural Estimation of Seismic Local Slopes
Breno Bahia, Mauricio D. Sacchi
2022· article· en· 83rd EAGE Annual Conference & Exhibition· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
venueno affno abstractunlabeled
10.1016/0967-0653(93)91171-8
2000· article· en· Time to knit· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
3
citations
affunlabeled
Explicit Fourier wavefield operators
Robert J. Ferguson, Gary F. Margravé
2006· article· en· Geophysical Journal International· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
3
citations
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