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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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Land Use and Ecosystem Services
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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.

2,207 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.
2,207 works in the cohort · of 4,299,418page 35 of 45

Labels cover 3 of 2,207 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 2,207 of 2,207 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.

afffundunlabeled
Land use/land cover forecast and urban sprawl analysis in a Brazilian city in the Atlantic Forest Biome
Marina Pannunzio Ribeiro, Vandré Soares Viégas, Kaline de Mello, Fabiana da Silva Soares, Roberta Averna Valente, Dongmei Chen
2024· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Introduction to Ecosystem Science and Planning
Jared Makaiau, P. Dalzell, Gerard T. DiNardo, C. Lees Alexander, Svein. Fougner, Dirk Zeller
2011· other· en· Environmental Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Middle-range theories of land system change
Patrick Meyfroidt, Rinku Roy Chowdhury, Ariane de Bremond, Erle C. Ellis, Karl‐Heinz Erb, Tatiana Filatova +13 more
2018· article· en· Bern Open Repository and Information System (University of Bern)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fuzzy Ecospace Modelling
Daniel Dick
2018· dataset· en· Figshare· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Fuzzy Ecospace Modelling
Daniel Dick
2018· dataset· en· Zenodo (CERN European Organization for Nuclear Research)· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Studies on How to View a Landscape
Jessica Auer
2016· article· fr· Imaginations Journal of Cross-Cultural Image Studies· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
ASSESSING THE SIMILARITIES OF 3D SIMULATION MODEL OUTCOMES
Alex K. Smith, Suzana Dragićević
2021· article· en· ˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About