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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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Forest Management and Policy
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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.

2,661 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.
2,661 works in the cohort · of 4,299,418page 42 of 54

Labels cover 7 of 2,661 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 2,661 of 2,661 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
Impact Of Forest Based Industries on Indian Economy
Ramanand Mishra -, Dr.Basanti Mathew Merline -
2023· article· en· International Journal For Multidisciplinary Research· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Preface
2010· book-chapter· en· University of British Columbia Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affaboutno abstractunlabeled
Canada
Juha M. Metsaranta, C. Smyth, Werner A. Kurz
2017· book-chapter· en· Managing forest ecosystems· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
IMGEO2_2018155_DEV_JKB2t_X77a.txt
2024· dataset· en· Texas Digital Library (University of Texas)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Nanaimo Free Press [Friday, November 8, 1895]
2019· other· en· VIURRSpace (Vancouver Island University)· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Whither Community Forests in Canada?
Peter N. Duinker, L. Kris MacLellan
2016· book-chapter· en· University of British Columbia Press eBooks· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Universal Forest Products Inc.
2007· article· en· Mergent s Dividend Achievers· Environmental Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About