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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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Mobile and Web Applications
Retraction
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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.

177 results · 1 filter active ·
Results by year
20002025
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Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
177 works in the cohort · of 4,299,418page 3 of 4

Labels cover 0 of 177 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 177 of 177 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
OWS Messaging Framework
Steven Keens, John Davidson
2003· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
afffundunlabeled
Geolinking Service
Peter Schut
2004· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Geolinked Data Access Service
2004· report· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Android
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Engineering Wireless Mobile Applications
Qusay H. Mahmoud, Zakaria Maamar
2009· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
A Requirement Model of UUM Alumni Online Jobs
Fathi Said E.Shaninah Shaninah
2008· dissertation· en· JMIR Formative Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Working with Dropdown Lists
Jennifer Harder
2023· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Setting Up the Environment
Sonu Kapoor
2025· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
3G Technologies for Social Network Data Generation
Julián Benavides, Bryan Demianyk, Shamir Mukhi, Ken Ferens, Marcia Friesen, R.D. McLeod
2011· article· en· CMBES Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
basket
Farzin Zaker
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Expert Office 365
Nikolas Charlebois-Laprade, Evgueni Zabourdaev, Daniel Brunet, Bruce E. Wilson, Mike Farran, Kip Ng +5 more
2017· book· en· Apress eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
metadata.xml
David Topps
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Introduction to TouchDevelop
R. Nigel Horspool, Nikolai Tillmann
2013· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
static-1000
Farzin Zaker
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
product-3600
Farzin Zaker
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Audio
R. Nigel Horspool, Nikolai Tillmann
2013· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
basket-180
Farzin Zaker
2019· dataset· en· Harvard Dataverse· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
venueno affunlabeled
Interactive Web3D Publishing System
Wu Hao, Jie Yang
2010· article· en· Microcomputer applications· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Functions and Scope
Sonu Kapoor
2025· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Three Things about Mobile App Commissions
Joshua S. Gans
2024· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Sets
Sammie Bae
2019· book-chapter· en· Apress eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
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How this was built: Screen · Findings · About