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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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Natural Resources and Economic Development
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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.

609 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.
609 works in the cohort · of 4,299,418page 10 of 13

Labels cover 1 of 609 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 609 of 609 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
Hotel d'Angleterre
2015· other· fr· Dspace Repository (Marmara Üniversitesi)· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
10.51847/eHvEim9CD5
2000· article· en· Time to knit· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affunlabeled
Taxation of mineral resources extraction
Iva Císařová
2013· dissertation· cs· Digital Repository (National Repository of Grey Literature)· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
Nanaimo Free Press [Thursday, September 7, 1893]
2019· other· en· VIURRSpace (Vancouver Island University)· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Reserves in Aid to the Civil Power
Chris Madsen
2024· article· en· Canadian Military Journal· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The Analytics of Natural Resource Management
Eric Bahel, Octave Keutiben, Francis Didier Tatoutchoup
2023· book-chapter· en· Oxford University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Comments: Progress in Iraq?
John Donnelly
2009· article· en· Journal of Petroleum Technology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Oil Revenue Management: Cameroon’s Experience
Octave Keutiben, Francis Didier Tatoutchoup, Eric Bahel
2023· book-chapter· en· Oxford University Press eBooks· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Brazil’s Petroleum Sector
Annette Hester, Abbas Naini, Dimitra Katsuris
2002· article· en· Journal of Canadian Petroleum Technology· Economics, Econometrics and Finance
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Executive Summary
2012· article· en· Economics, Econometrics and Finance
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
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