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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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Hydrology and Watershed Management Studies
Retraction
Abstract
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Study design
Label agreement
Label status

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
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

4,502 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
4,502 works in the cohort · of 4,299,418page 72 of 91

Labels cover 5 of 4,502 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 4,502 of 4,502 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.

affunlabeled
Comment on hess-2021-437
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC2
Rebecca C. Rooney
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on gmd-2021-440
Astrid Kerkweg
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on hess-2021-321
Rosanna Lane, Gemma Coxon, Jim Freer, Jan Seibert, Thorsten Wagener
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundaboutno affunlabeled
Comment on gmd-2021-336
Paul C. Astagneau
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2020-613
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Reply on RC1
Yiling Huo
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC1
Hongxiu Wang
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2021-113
Sam Anderson
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2022-113
Juliane Mai, Hongren Shen, Bryan A. Tolson, Étienne Gaborit, Richard Arsenault, James R. Craig +14 more
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2021-186
Christopher Spence, Zhihua He, Kevin Shook, Balew A. Mekonnen, John W. Pomeroy, Colin J. Whitfield +1 more
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on hess-2022-422
Han Fu, Eric J. Neil, Huijie Li, Bingcheng Si
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundaboutunlabeled
Reply on RC2
Robert Chlumsky
2022· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
afffundunlabeled
Comment on gmd-2022-135
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Reply to RC2
Solomon Vimal
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affaboutunlabeled
Reply on RC1
Shervan Gharari
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
fundno affunlabeled
Comment on essd-2022-433
Md. Safat Sikder, Jida Wang, George H. Allen, Yongwei Sheng, Dai Yamazaki, Chunqiao Song +3 more
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Comment on hess-2022-96
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Comment on hess-2022-96
Sara Sadri, J. S. Famiglietti, Ming Pan, Hylke E. Beck, Aaron Berg, Eric F. Wood
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Answer to the Anonymous Referee #1
Emixi Valdez
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC1
Mina Faghih
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Reply on RC2
Mazda Kompanizare
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Review of HESS-2019-152
2019· preprint· nds· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Comment on essd-2022-433
Md. Safat Sikder
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Review of HESS-2019-207
2019· preprint· fr· Environmental Science
machine prediction:candidate · metaresearchconsensus · none
0
citations
aboutno affunlabeled
Reply on AC2
Simon Ricard, Philippe Lucas‐Picher, François Anctil
2021· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Comment on gmd-2021-97
Tom Gleeson
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Reply on RC2
Richard Arsenault
2022· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Comment on hess-2023-21
Samah Larabi, Juliane Mai, Markus Schnorbus, Bryan A. Tolson, Francis W. Zwiers
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Comment on egusphere-2022-1103
Yanfeng Wu, Jingxuan Sun, Boting Hu, Y. Jun Xu, Alain N. Rousseau, Guangxin Zhang
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundaboutunlabeled
Comment on hess-2021-186
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comment on hess-2021-71
2021· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Reply on RC3
Han Fu
2023· peer-review· en· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About