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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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Cambridge University Engineering Department Publications Database
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Retraction
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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.

21 results · 1 filter active ·
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20012020
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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.
21 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 21 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 21 of 21 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.

affunlabeled
MetaGAN: an adversarial approach to few-shot learning
Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song
2018· article· en· Cambridge University Engineering Department Publications Database· Computer Science
machine prediction:candidate · noneconsensus · none
283
citations
aboutno affunlabeled
The problem of agency; how humans act, how machines act
Jeremy Rose, Matthew Jones, Duane Truex
2003· article· en· Cambridge University Engineering Department Publications Database· Social Sciences
machine prediction:candidate · noneconsensus · none
20
citations
affunlabeled
Bayesian Nonparametric Modeling of Suicide Attempts
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez‐Cruz
2012· article· en· Cambridge University Engineering Department Publications Database· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
affunlabeled
Effects of shear band propagation on submarine landslide
Rajib Dey, Bipul Hawlader, Ryan Phillips, Kenichi Soga
2012· article· en· Cambridge University Engineering Department Publications Database· Engineering
machine prediction:candidate · noneconsensus · none
8
citations
aboutno affunlabeled
The laser-assisted cold spray process
Andrew Cockburn, M.E. Bray, Bill O’Neill
2008· article· en· Cambridge University Engineering Department Publications Database· Engineering
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Incoming editor's message
Christophe Diot, Jennifer Rexford, Vern Paxson, Chadi Barakat, Ernst W. Biersack, Mark Crovella +7 more
2005· article· en· Cambridge University Engineering Department Publications Database· Arts and Humanities
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
ACM chapter news: From Ontario to Hyderabad
2010· article· en· Cambridge University Engineering Department Publications Database· Medicine
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affno abstractunlabeled
Changes in deconvoluted baseflow rates in Canada
G. T. Parker, CD Rennie
2009· article· en· Cambridge University Engineering Department Publications Database· Environmental Science
machine prediction:candidate · noneconsensus · none
0
citations

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