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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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Forest ecology and 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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

2,856 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.
2,856 works in the cohort · of 4,299,418page 55 of 58

Labels cover 5 of 2,856 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 2,856 of 2,856 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
Reply on RC2
Hideki Ninomiya
2023· peer-review· en· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
U.S. and Canada Parks
Tele Atlas North America
2008· article· en· Offline data· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Menard_et_al_Afforestation_Quebec
Isabelle Ménard, Évelyne Thiffault
2021· dataset· en· Figshare· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Canada's boreal forest
Neil Ravenscroft
2004· article· en· Biological Conservation· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Menard_et_al_Afforestation_Quebec
Isabelle Ménard, Évelyne Thiffault
2021· dataset· en· Figshare· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Using Tree Shape
Arne x D . Mooers, Stephen B. Heard
2002· article· en· Systematic Biology· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Cover Image
2019· paratext· en· Evolutionary Applications· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
Aplicación de leyes fundamentales de la densidad a bosques de Nothofagus: I. Regla de los -3/2 o ley del autorraleo = Applicability of density rules on Nothofagus forests: I. The -3/ 2 power law or self-thinning
Luis Chauchard, Renato Sbrancia, Marcelo González, Leonardo Maresca, A. Rabino
2023· article· es· LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About