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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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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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venuejournal
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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.

3,084 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.
3,084 works in the cohort · of 4,299,418page 9 of 62

Labels cover 10 of 3,084 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 3,084 of 3,084 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Slang Detection and Identification
Zhengqi Pei, Zhewei Sun, Yang Xu
2019· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
affno abstractunlabeled
Manifest and Latent Variates
Michael D. Maraun, Peter F. Halpin
2008· article· en· Measurement Interdisciplinary Research and Perspectives· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
afffundunlabeled
Is the sky pure today? AwkChecker
Taehyun Park, Edward Lank, Pascal Poupart, Michael Terry
2008· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
27
citations
affunlabeled
Evaluating Roget's Thesauri
Alistair Kennedy, Stan Śzpakowicz
2008· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
venueno affunlabeled
ETAP-2: The Linguistics of a Machine Translation System
Jurij D. Apresjan, Igor M. Boguslavskij, Leonid Iomdin, Alexandre V. Lazurskij, В. З. Санников, Leonid L. Tsinman
2002· article· fr· Meta Journal des traducteurs· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
aboutno affunlabeled
e‐Learning for depth in the Semantic Web
Uri Shafrir, Masha Etkind
2006· article· en· British Journal of Educational Technology· Computer Science
distilled prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Low-Resource Machine Transliteration Using Recurrent Neural Networks
Ngoc Tan Le, Fatiha Sadat, Lucie Ménard, Điền Đinh
2019· article· en· ACM Transactions on Asian and Low-Resource Language Information Processing· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
24
citations
affunlabeled
Open information extraction
Duc-Thuan Vo, Ebrahim Bagheri
2017· article· en· Encyclopedia with Semantic Computing and Robotic Intelligence· Computer Science
distilled prediction:candidate · scholarly_communicationconsensus · none
24
citations
venueno affunlabeled
Open Information Extraction to KBP Relations in 3 Hours.
Stephen Soderland, John Gilmer, Robert Bart, Oren Etzioni, Daniel S. Weld
2013· article· en· Theory and applications of categories· Computer Science
distilled prediction:candidate · noneconsensus · none
24
citations

How this was built: Screen · Findings · About