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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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3D Surveying and Cultural Heritage
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.

affaffiliation
fundfunder
venuejournal
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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.

1,245 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.
1,245 works in the cohort · of 4,299,418page 23 of 25

Labels cover 2 of 1,245 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 1,245 of 1,245 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.

affaboutunlabeled
Leveling Up Architectural Education
Vincent Hui, Alvin Huang, Kristen Sarmiento
2022· article· en· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
I dipinti murali di Arcumeggia
Stefano Silvestrini
2025· book-chapter· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Smoking Habits Survey, 2011
2012· dataset· en· NSD – Norsk senter for forskningsdata· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
venueno affno abstractunlabeled
Objects in mirror are closer than they appear
Judith Langevin
2001· article· en· XYZ. La revue de la nouvelle· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler
2021· article· en· Neural Information Processing Systems· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
c50z10_4.rtl
2021· dataset· ru· Geological Survey of Denmark and Greenland (GEUS)· Earth and Planetary Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
CARATTERIZZAZIONE DI COMPONENTI PER LASER DI POTENZA IN FIBRA OTTICA
Andrea Braglia, Alessio Carullo, Franco Ferraris, Alessandra Neri, Massimo Olivero, Renato Orta +4 more
2010· article· en· Journal of the Canadian Association of Radiologists· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
0
citations
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