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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
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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.

552 results · 1 filter active ·
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20002025
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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.
552 works in the cohort · of 4,299,418page 3 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
Multilabel Subject-Based Classification of Poetry
Andrés Lou, Diana Inkpen, Chris Tănăsescu
2015· article· en· Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B))· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affunlabeled
The Essential Elements of Faceted Thesauri
Louise F. Spiteri
2000· article· en· Cataloging & Classification Quarterly· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
aboutno affunlabeled
The voice-rate dialog system for consumer ratings
Geoffrey Zweig, Patrick Nguyen, Yun‐Cheng Ju, Ye‐Yi Wang, Dong Yu, Alex Acero
2007· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
An annotation scheme for Rhetorical Figures
Randy Allen Harris, Chrysanne Di Marco, Sebastian Ruan, Cliff O’Reilly
2018· article· en· Argument & Computation· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Self-Organizing Maps for Topic Trend Discovery
Richard Rzeszutek, Dimitrios Androutsos, Matthew Kyan
2010· article· en· IEEE Signal Processing Letters· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affunlabeled
Style, content, and the success of ideas
Reihane Boghrati, Jonah Berger, Grant Packard
2023· article· en· Journal of Consumer Psychology· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Plotting symbols
Martin Krzywinski, Bang Wong
2013· article· en· Nature Methods· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
12
citations
affno abstractunlabeled
Automatic keyphrase extraction using word embeddings
Yuxiang Zhang, Huan Liu, Suge Wang, W.H. Ip, Wei Fan, Chunjing Xiao
2019· article· en· Soft Computing· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Opinions Sandbox: Turning Emotions on Topics into Actionable Analytics
Feras Al‐Obeidat, Eleanna Kafeza, Bruce Spencer
2017· book-chapter· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
12
citations
affno abstractunlabeled
Extracting Keyphrases from Spoken Audio Documents
Alain Désilets, Berry de Bruijn, Joel Martin
2002· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Content-Based Filtering
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations

How this was built: Screen · Findings · About