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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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Flood Risk Assessment and Management
Retraction
Abstract
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Label agreement
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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.

1,552 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.
1,552 works in the cohort · of 4,299,418page 31 of 32

Labels cover 2 of 1,552 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 1,552 of 1,552 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.

fundno affunlabeled
Reply on RC1
Heidi Kreibich
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Flood Prevention
Slobodan P. Simonović
2004· other· en· Water Encyclopedia· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Cities and Coastal Flooding
2025· book-chapter· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Legacy in the Landscape
Stephanie E. Chang
2025· book· Cambridge University Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
KGS Group
2007· article· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Stereo bathymetry to monitor small seasonal agriculture water ponds in ungauged areas
Victoria Vanthof, Sylvain Ferrant, Romain Walcker, Richard Kelly
2024· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
A time of change
Paul Samuels
2020· article· en· Journal of Flood Risk Management· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Natural Disasters
A.G. Davenport, G.A. Kopp
2001· other· en· Encyclopedia of Environmetrics· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Data Needs for Modelling Flood Frequency
Charles D. D. Howard, Brian P. Bradley
2011· book-chapter· en· Special publications· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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