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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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Environmental and Ecological Statistics
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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.

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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.

48 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.
48 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 48 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 48 of 48 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
A stochastic forest fire growth model
Den Boychuk, W. John Braun, Reg Kulperger, Zinovi L. Krougly, David A. Stanford
2008· article· en· Environmental and Ecological Statistics· Environmental Science
machine prediction:candidate · noneconsensus · none
80
citations
afffundno abstractunlabeled
Testing for a change in diet using fatty acid signatures
Connie Stewart, Sara J. Iverson, Christopher B. Field
2014· article· en· Environmental and Ecological Statistics· Environmental Science
machine prediction:candidate · noneconsensus · none
19
citations
affno abstractunlabeled
A statistical evaluation of non-ergodic variogram estimators
Frank C. Curriero, Michael Ed. Hohn, Andrew M. Liebhold, Subhash R. Lele
2002· article· en· Environmental and Ecological Statistics· Environmental Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
A new design for sampling with adaptive sample plots
Haijun Yang, Christoph Kleinn, Lutz Fehrmann, Shouzheng Tang, Steen Magnussen
2009· article· en· Environmental and Ecological Statistics· Mathematics
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Halton iterative partitioning master frames
B. L. Robertson, Paul van Dam‐Bates, Oliver Gansell
2021· article· en· Environmental and Ecological Statistics· Computer Science
machine prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
On the random placement hypothesis
Min Tsao
2000· article· en· Environmental and Ecological Statistics· Environmental Science
machine prediction:candidate · noneconsensus · none
6
citations
affno abstractunlabeled
Looking forward to 2013!
Pierre Dutilleul, Ashis SenGupta
2012· article· en· Environmental and Ecological Statistics· Business, Management and Accounting
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Book reviews
Shivanand Balram, Suzana Dragićević, Alfred Stein, Emili García‐Berthou
2003· article· en· Environmental and Ecological Statistics
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

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