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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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Species Distribution and Climate Change
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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.

7,879 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.
7,879 works in the cohort · of 4,299,418page 21 of 158

Labels cover 27 of 7,879 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 7,879 of 7,879 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
The need for archiving data in evolutionary biology
Allen J. Moore, Mark A. McPeek, Mark D. Rausher, Loren H. Rieseberg, Michael C. Whitlock
2010· editorial· en· Journal of Evolutionary Biology· Environmental Science
machine prediction:candidate · metaresearch+open_scienceconsensus · metaresearch
34
citations
afffundvenueaboutunlabeled
Population trend status of Ontario’s forest birds
Peter J. Blancher, R. Dean Phoenix, Debra S. Badzinski, Michael D. Cadman, Tara L. Crewe, Constance M. Downes +12 more
2009· article· en· The Forestry Chronicle· Environmental Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
‘Lost’ taxa and their conservation implications
Thomas E. Martin, G. C. Bennett, Andrew Fairbairn, Arne Ø. Mooers
2022· article· en· Animal Conservation· Environmental Science
machine prediction:candidate · noneconsensus · none
34
citations
afffundunlabeled
The data double standard
Allison D. Binley, Joseph Bennett
2023· article· en· Methods in Ecology and Evolution· Environmental Science
machine prediction:candidate · metaresearchconsensus · metaresearch
34
citations
affunlabeled
The power of citizen science to advance fungal conservation
Danny Haelewaters, C. Alisha Quandt, Lachlan Bartrop, Jonathan Cazabonne, Martha E. Crockatt, Susana P. Cunha +14 more
2024· article· en· Conservation Letters· Environmental Science
machine prediction:candidate · open_scienceconsensus · none
33
citations
affunlabeled
joshspeagle/dynesty: v2.1.4
2024· other· en· Edinburgh Research Explorer (University of Edinburgh)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
32
citations
affunlabeled
Conservation triage at the trailing edge of climate envelopes
Sophie L. Gilbert, Kate Broadley, Darcy Doran‐Myers, Amanda Droghini, Jessica A. Haines, Anni Hämäläinen +3 more
2019· article· en· Conservation Biology· Environmental Science
machine prediction:candidate · noneconsensus · none
32
citations

How this was built: Screen · Findings · About