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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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Currency Recognition and Detection
Retraction
Abstract
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Label agreement
Label status

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.

77 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.
77 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 77 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 77 of 77 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
Object Categorization
Sven Dickinson
2009· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
112
citations
afffundno abstractunlabeled
Mobile App for Detection of Counterfeit Banknotes
Tamarafinide V. Dittimi, Ching Y. Suen
2018· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
8
citations
venueno affunlabeled
An Overview of Hybrid, Digital and Virtual Library
Baldev Singh, Sumit Gangwar, M. Sharma, Manita Devi
2022· article· en· World Journal of English Language· Computer Science
machine prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
COMPUTER RECOGNITION AND EVALUATION OF COINS
Boyuan Feng, Ke Sun, Parmida Atighechian, Ching Y. Suen
2015· book-chapter· en· WORLD SCIENTIFIC eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
3
citations
affunlabeled
Images on Greek, Hellenistic and Roman coins: a conference held at Athens in 2012 - P. P. IOSSIF, FR. DE CALLATAŸ, R. VEYMIERS (edd.), TYPOI. GREEK AND ROMAN COINS SEEN THROUGH THEIR IMAGES. NOBLE <i>ISSUES</i>, HUMBLE <i>USERS? PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ORGANIZED BY THE BELGIAN AND FRENCH SCHOOLS AT ATHENS, 26-28 SEPTEMBER 2012</i> (Série Histoire 3; Presses Universitaires de Liège2018). Pp. 526, charts, pls. 71 mostly in colour. ISBN 978-2-87562-157-3.
Martin J. Beckmann
2019· article· en· Journal of Roman Archaeology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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