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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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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.

3,595 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,595 works in the cohort · of 4,299,418page 33 of 72

Labels cover 8 of 3,595 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 3,595 of 3,595 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
LMS Implementation in Startup Institutions
Sergey Butakov, Oleg Solodky, Bobby Swar
2013· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Ethics in Software Engineering
Pankaj Kamthan
2007· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Security and Trust of Online Auction Systems in E-Commerce
Pouwan Lei, Lih-Jiun Lo, C.R. Chatwin, Robert C. Young, Malcolm I. Heywood, A. Nur Zincir‐Heywood
2003· book-chapter· en· IGI Global eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Electronic-Government Vision
Mahmud Akhter Shareef, Uma Kumar, Vinod Kumar, Morteza Niktash
2011· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Knowledge Sharing in Legal Practice
Chad Saunders
2008· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Gender and the Household Internet
Tracy Kennedy
2006· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
Struggles With Historical Trauma
Kirsten A. Koenig
2022· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Qualitative Standards for E-Learning
Krista Breithaupt, Colla J. MacDonald
2006· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Aging Population
Sree Lekshmi Sreekumaran Nair, B. Sarveswara Rao, Adnan ul Haque
2022· book-chapter· en· IGI Global eBooks· Psychology
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Beyond Micro-Tasks
Roman Lukyanenko, Jeffrey Parsons
2019· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Neural Informatics
Yingxu Wang
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Voice/Speech Recognition Software
Andrew Kitchenham, Doug Bowes
2013· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Mission-Critical Group Decision-Making
Huizhang Shen, Jidi Zhao, Wayne Huang
2009· book-chapter· en· IGI Global eBooks· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Business Ethics Competencies
David Cramm, Ronel Erwee
2015· book-chapter· en· IGI Global eBooks· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Evolving E-Health System Symbiosis
Denis H.J.
2009· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affaboutunlabeled
Beyond Mobile Learning
André H. Caron, Letizia Caronia, Pascal Gagné
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Preference-Based Frequent Pattern Mining
Moonjung Cho, Jian Pei, Haixun Wang, Wei Wang
2008· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Would Be Pirates
Melanie J. Mortensen
2008· book-chapter· en· IGI Global eBooks· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Toward Technological Bload and Academic Technocracy
George S. McClellan, Gary A. Cruz, Amy Scott Metcalfe, Richard L. Wagoner
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · stsconsensus · none
0
citations
affunlabeled
How Much is Too Much?
Nicholas P. Robinson, Prescott C. Ensign
2013· book-chapter· en· IGI Global eBooks· Social Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Is It Privacy or Is It Access Control?
Sylvia L. Osborn
2019· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
PROLOG
Bernie Garrett
2009· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations

How this was built: Screen · Findings · About