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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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Marine and coastal ecosystems
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
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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.

3,624 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,624 works in the cohort · of 4,299,418page 38 of 73

Labels cover 2 of 3,624 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 3,624 of 3,624 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.

affno abstractunlabeled
Internal nutrients dominate load and drive hypoxia in a eutrophic estuary
Jerrica M. Cormier, Michael R.S. Coffin, Christina C. Pater, Kyle M. Knysh, Robert F. Gilmour, Thomas Guyondet +2 more
2023· article· en· Environmental Monitoring and Assessment· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Estimation of phytoplankton loss rate by remote sensing
Li Zhai, Trevor Platt, Charles Tang, Mike Dowd, Shubha Sathyendranath, Marie‐Hélène Forget
2008· article· en· Geophysical Research Letters· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
15
citations
affunlabeled
Salmon-derived nutrients drive diatom beta-diversity patterns
Guangjie Chen, Émilie Saulnier‐Talbot, Daniel T. Selbie, Erika E. A. Brown, Daniel E. Schindler, Lynda Bunting +3 more
2010· article· en· Freshwater Biology· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
14
citations
afffundvenueunlabeled
Testing models of aquatic N<sub>2</sub>O flux for inland waters
Helen M. Baulch, Sherry L. Schiff, Roxane Maranger, Peter Dillon
2012· article· en· Canadian Journal of Fisheries and Aquatic Sciences· Earth and Planetary Sciences
machine prediction:candidate · noneconsensus · none
14
citations

How this was built: Screen · Findings · About