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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.

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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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Ecology and biodiversity studies
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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.

1,327 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.
1,327 works in the cohort · of 4,299,418page 21 of 27

Labels cover 0 of 1,327 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 1,327 of 1,327 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.

aboutno affunlabeled
Save the Bear
Duane Niatum
2015· article· en· American book review/˜The œAmerican book review· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Southern California Law Review, 1932
2021· dataset· en· University of Southern California Digital Library· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
‘State of Lake Superior’: A review
J. H. Leach
2011· review· en· Aquatic Ecosystem Health & Management· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Chautauqua Manoeuvre Map - 1915
W.F. Howland
2014· article· en· Brock University Digital Repository (Brock University)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Manitoba Task Force on Meech Lake
Hongwei Sahapattana
2016· article· en· Biographies | Encyclopedia of Canadian Laws· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Moose hunting in Russia.
Alexander A. Ulitin
2002· article· en· Alces· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Grace in extremis
I. R. Cameron
2007· article· en· Canadian Medical Association Journal· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Hermanniella robusta Ewing 1918
2019· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Devia prospera
2023· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Некоторые биохимические показатели речных бобров в связи с особенностями экологии
Alexey Unzhakov, Виктор Александрович Илюха, Vladimir Vasil Belkin
2007· article· ru· Современные проблемы природопользования, охотоведения и звероводства· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
San Fernando fair races, 1951
2021· dataset· en· University of Southern California Digital Library· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Dineutus hornii Roberts 1895
2008· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
statepoint_P_1.0_S_1.0_G_0.95_.300.h5
2024· dataset· en· UNB Dataverse· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
venueno affno abstractunlabeled
10.1016/s0967-0653(98)83523-0
2000· article· en· Time to knit· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Castor canadensis Kuhl 1820
2020· article· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About