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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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International series on computer entertainment and media technology
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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.

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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.

11 results · 1 filter active ·
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20152020
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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.
11 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 11 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 11 of 11 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Towards a Privacy Rule Conceptual Model for Smart Toys
Laura Rafferty, Patrick C. K. Hung, Marcelo Fantinato, Sarajane Marques Peres, Farkhund Iqbal, Sy‐Yen Kuo +1 more
2017· book-chapter· en· International series on computer entertainment and media technology· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
34
citations
affno abstractunlabeled
Machine Learning for Authorship Attribution and Cyber Forensics
Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
2020· book· en· International series on computer entertainment and media technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
14
citations
affno abstractunlabeled
A Survey on Purchase Intention of Hello Barbie in Brazil and Argentina
Marcelo Fantinato, Patrick C. K. Hung, Ying Jiang, Jorge Roa, Pablo Villarreal, Mohammed Melaisi +1 more
2017· book-chapter· en· International series on computer entertainment and media technology· Decision Sciences
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Introduction to Toy Computing
Laura Rafferty, Patrick C. K. Hung
2015· book-chapter· en· International series on computer entertainment and media technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
7
citations
affno abstractunlabeled
Advanced Sound Integration for Toy-Based Computing
Bill Kapralos, Kamen Kanev, Michael Jenkin
2015· book-chapter· en· International series on computer entertainment and media technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
3
citations
affno abstractunlabeled
Designing Hand Tracked Exergames with Virtual Toys
Saskia Ortiz-Padilla, Álvaro Uribe-Quevedo, Bill Kapralos
2017· book-chapter· en· International series on computer entertainment and media technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Authorship Characterization
Farkhund Iqbal, Mourad Debbabi, Benjamin C. M. Fung
2020· book-chapter· en· International series on computer entertainment and media technology· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

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