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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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Advanced Text Analysis Techniques
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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.

552 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.
552 works in the cohort · of 4,299,418page 10 of 12

Labels cover 2 of 552 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 552 of 552 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
Topic Composition in AEA Journals
Dian Hong
2024· preprint· en· Research Square· Computer Science
machine prediction:candidate · metaresearch+bibliometricsconsensus · none
0
citations
venueno affunlabeled
Inedxing as Problem Solving: A Cognitive Approach to Consistency
Claire David, Laurent Giroux, Suzanne Bertrand‐Gastaldy, Diane Lanteigne
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Clozapp
Kelly Nisbet, Michel Généreux, Blake Anderson, Victor Kuperman
2019· article· en· The Mental Lexicon· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Annotative Indexing
Charles L. A. Clarke
2025· preprint· en· Information Retrieval Research· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affvenueaboutunlabeled
Correlation of term usage and term indexing frequencies
Michael J. Nelson
2022· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Editorial
A. H. M. Zahirul Alam
2024· editorial· en· IIUM Engineering Journal· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
A Topic Modeling Based Approach for Enhancing Corpus Querying
Nouh Alhindawi, Belal Abu Ata, Lana Mahmoud Obeidat, Mohammad Subhi Al-Batah, Muad Abu‐Ata
2019· article· en· International Journal of Open Source Software and Processes· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Optimal Text-Based Time-Series Indices
David Ardia, Keven Bluteau
2024· article· en· SSRN Electronic Journal· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Preliminaries
Marisa Bortolussi, Peter Dixon
2002· book-chapter· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Other
Leora C. Swartzman, Richard A. Harshman, Margaret E. Lundy, Jacquelyn Burkell
2004· article· en· Journal of Pain· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Using Graphics to Improve Understanding of Conceptual Models
Kamal Masri, Drew Parker, Andrew Gemino
2010· book-chapter· en· Advances in database research (ADR) book series/Advances in database research series· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Bike: Bilingual Keyphrase Experiments
David R. Nadeau, Caroline Barrière, George Foster
2005· article· en· NPARC· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Re-Conceiving Information Studies: A Quantum Approach
John M. Budd
2013· article· fr· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueaboutno affunlabeled
Using Genetics in Information Filtering
Max Höfferer, Bernd Knaus, Werner Winiwarter
2013· article· en· Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Big Data Measures of Environmental Concern
Agol Wai Ming Ho, Kevin Chi Keung Li
2023· article· en· Journal of Applied Business and Economics· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Hierarchical Document Clustering
Benjamin C. M. Fung, Ke Wang, Martin Ester
2011· book-chapter· en· IGI Global eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Mining Text Conversations
Giuseppe Carenini, Gabriel Murray, Raymond T. Ng
2011· book-chapter· en· Synthesis lectures on data management· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About