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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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Coastal and Marine Management
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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
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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.

1,751 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.
1,751 works in the cohort · of 4,299,418page 8 of 36

Labels cover 8 of 1,751 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 1,751 of 1,751 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.

venueno affno abstractunlabeled
10.1016/s0967-0653(98)80641-8
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
13
citations
venueno affno abstractunlabeled
10.1016/0967-0653(95)91102-a
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
12
citations
aboutno affunlabeled
2. Coastal Zone Management
Manoj Shivlani, Daniel O. Suman
2019· article· en· Yearbook of International Environmental Law· Environmental Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
To save the high seas, plan for climate change
Lee Hannah, Amy L. Irvine, Isaac Brito‐Morales, Susanna Fuller, Tammy E. Davies, Derek P. Tittensor +4 more
2024· article· en· Nature· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Advancing interdisciplinary knowledge for ocean sustainability
Catarina Frazão Santos, Tundi Agardy, Denis Worlanyo Aheto, Edward H. Allison, Nathan Bennett, Jessica Blythe +24 more
2023· article· en· npj Ocean Sustainability· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
venueno affunlabeled
10.1016/0967-0653(94)91720-5
Donald K. Stauble, Andrew W. Garcia, Nicholas C. Kraus, William G. Grosskopf, Gregory P. Bass
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
11
citations
affunlabeled
The use of influential power in ocean governance
Bianca Haas, Aline Jaeckel, Angelique Pouponneau, Randa Sacedon, Gerald G. Singh, Andrés M. Cisneros‐Montemayor
2023· article· en· Frontiers in Marine Science· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
The Vital Roles of Blue Foods in the Global Food System
Jim Leape, Fiorenza Micheli, Michelle Tigchelaar, Edward H. Allison, Xavier Basurto, Abigail Bennett +19 more
2023· book-chapter· en· Environmental Science
machine prediction:candidate · noneconsensus · none
11
citations

How this was built: Screen · Findings · About