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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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Sentiment Analysis and Opinion Mining
Retraction
Abstract
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Label agreement
Label status

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.

797 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
797 works in the cohort · of 4,299,418page 16 of 16

Labels cover 0 of 797 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 797 of 797 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
Sentiment Analysis
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Learning Incident Causes
2008· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Large Language Model for Chatbot
Prof. Trupti Farande, Vishal B. Waghmare, Rushikesh Barkade, Adesh Shinde, Omkar Naikade
2024· article· en· International Journal of Advanced Research in Science Communication and Technology· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Sentiment Detection and Analysis
Reda Alhajj, Jon Rokne
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affno abstractunlabeled
National Library of Canada to
2015· article· en· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
#Emotional Tweets
2012· article· nl· National Research Council Canada (Government of Canada)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Puissance Maximale - Emission 13 juin 2013
2013· other· fr· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Social Media Analysis
2018· book-chapter· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Episode 186 - LORETTA LYNN - ANNE MURRAY - GRADY L.
2021· other· en· Bulletin of Miscellaneous Information (Royal Gardens Kew)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Identifying Purpose Behind Electoral Tweets
Saif M. Mohammad, Svetlana Kiritchenko, Joel Martin
2013· preprint· en· arXiv (Cornell University)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Emotion Detection on Twitter Textual Data
Fan Jiang, Colton Aarts
2020· book-chapter· en· Advances in intelligent systems and computing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
10.51847/bEESQDVsrx
2000· review· en· Time to knit· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
aboutno affno abstractunlabeled
Montréal
2020· other· fr· EspaceINRS (National Institute for Scientific Research (Canada))· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
From Citizens to Decision-Makers
Eya Boukchina, Sehl Mellouli, Emna Menif
2019· book-chapter· en· Natural Language Processing· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Methodology
Mosab Alfaqeeh, David B. Skillicorn
2024· book-chapter· en· Lecture notes in social networks· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Congregation
2014· other· en· Digital Commons - ACU (Abilene Christian University)· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Sentiment analysis of Amazon product reviews
Beiyu Xu, Hongwu Gan, Xinyue Sun, Xiaoying Shao
2023· article· en· Applied and Computational Engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Topic and Sentiment Modelling for Social Media
Stan Matwin, Aristides Milios, Paweł Prałat, Amílcar Soares, François Théberge
2023· book-chapter· en· SpringerBriefs in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affunlabeled
Extracting Major Topics of COVID-19 Related Tweets
Faezeh Azizi, Hamed Vahdat‐Nejad, Hamideh Hajiabadi, Mohammad Hossein Khosravi
2021· preprint· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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