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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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Multimedia Communication and Technology
Retraction
Abstract
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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.

539 results · 1 filter active ·
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20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
539 works in the cohort · of 4,299,418page 5 of 11

Labels cover 0 of 539 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 539 of 539 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
Building a better mousetrap
Grant Innes
2023· editorial· en· Canadian Journal of Emergency Medicine· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affvenueno abstractunlabeled
Broken IUD
Ellen Wiebe
2012· article· en· Journal of Obstetrics and Gynaecology Canada· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
An Intuitive Approach to Elementary Mathematics on the Web
Bruce L. Bauslaugh, Richard J. Cannings, Claude Laflamme, W. K. Nicholson
2002· book-chapter· en· Mathematics and visualization· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
Server-Side Rendering
Yiyi Sun
2019· book-chapter· en· Apress eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affno abstractunlabeled
Process modeling for new media artworks
Brigitte Kerhervé, Olivier Gerbé, Paul Landon
2008· article· en· Multimedia Systems· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
An Exemplary Interface for All
Francisco V. Cipolla-Ficarra, Alejandra Quiroga, Jim Carré, Jacqueline Alma
2017· book-chapter· en· Advances in human and social aspects of technology book series· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
venueno affunlabeled
CATview
Gioele Barabucci
2015· article· en· Digital Medievalist· Social Sciences
machine prediction:candidate · noneconsensus · none
2
citations
fundno affno abstractunlabeled
IEEE Transactions on Multimedia
Wenwu Zhu, Stephen Welby, Thomas Siegert, Business Administration, Julie Cozin, Corporate Governance +36 more
2018· article· en· IEEE Transactions on Multimedia· Social Sciences
machine prediction:candidate · insufficient_payloadconsensus · none
1
citations
affunlabeled
Multimedia document engineering in MCF
Peter R. King, Jocelyne Nanard, Marc Nanard
2002· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Forking Paths' Interactive Films
Bruno Mendes da Silva
2022· article· en· Interactive Film and Media Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Big Picture Realities
2008· book· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Developing a Community of Videoconference Users
Trevor Woods
2006· article· en· Society for Information Technology & Teacher Education International Conference· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Multimedia document engineering in MCF
Peter King, Jocelyne Nanard, Marc Nanard
2002· article· en· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Les enfants et leurs écrans
André H. Caron
2011· book· fr· Presses de l’Université de Montréal eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affvenueunlabeled
Audio/ Videoconferencing Packages: Low cost
Remi Treblay, Barb Fyvie, Brenda Koritko
2006· article· en· The International Review of Research in Open and Distributed Learning· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Future Hybrid Technology for Pay TV Platform
Abu Toha Md Anowarul Azim
2023· article· en· Network and Communication Technologies· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
venueno affunlabeled
Expanding Interactivity in Film
Pavel Prokopic, Jayne Sayer
2025· article· en· Interactive Film and Media Journal· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Controlling ScreenTime For Children
Radhika Sikarwar, Nihal Heran Jain, Shakun Singh
2023· article· en· Journal of Analysis and Computations· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Ambient and context-aware services
Quan Z. Sheng, Elhadi Shakshuki
2014· article· en· Journal of Computer and System Sciences· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
The values of Canadian citizens
2022· other· en· Figshare· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
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How this was built: Screen · Findings · About