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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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Handwritten Text Recognition Techniques
Retraction
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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.

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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.

605 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.
605 works in the cohort · of 4,299,418page 2 of 13

Labels cover 0 of 605 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 605 of 605 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
Character string extraction from color documents
Hiroyuki Hase, T. Shinokawa, Masaaki Yoneda, Ching Y. Suen
2001· article· en· Pattern Recognition· Computer Science
machine prediction:candidate · noneconsensus · none
44
citations
afffundunlabeled
IBN SINA
Reza Farrahi Moghaddam, Mohamed Cheriet, Mathias M. Adankon, K. M. Filonenko, Robert Wisnovsky
2010· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
42
citations
affno abstractunlabeled
Online Signature Verification
Réjean Plamondon, Giuseppe Pirlo, Donato Impedovo
2014· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
36
citations
affunlabeled
State of the Art in Off-Line Signature Verification
Luana Batista, Dominique Rivard, Robert Sabourin, Éric Granger, Patrick Maupin
2008· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
Online handwriting recognition-a survey
Charles C. Tappert, C.Y. Suen, Toru Wakahara
2003· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
33
citations
affno abstractunlabeled
Online Signature Verification
Réjean Plamondon, Giuseppe Pirlo, Donato Impedovo
2014· book-chapter· en· CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro)· Computer Science
machine prediction:candidate · noneconsensus · none
28
citations
affno abstractunlabeled
Treatment of Diagrams in Document Image Analysis
Dorothea Blostein, Edward Lank, Richard Zanibbi
2000· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
affunlabeled
Text Detection and Recognition in the Wild: A Review
Zobeir Raisi, Mohamed A. Naiel, Paul Fieguth, Steven Wardell, John Zelek
2020· review· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
26
citations
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How this was built: Screen · Findings · About