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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.

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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.

11,332 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.
11,332 works in the cohort · of 4,299,418page 198 of 227

Labels cover 8 of 11,332 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 11,332 of 11,332 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
Clickstream Visualization Based on Usage Patterns
Srinidhi Kannappady, Sudhir P. Mudur, Nematollaah Shiri
2006· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On Enumeration of Müller Automata
Michael Domaratzki
2003· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Improved Inference via Deep Input Transfer
Saeid Asgari Taghanaki, Kumar Abhishek, Ghassan Hamarneh
2019· preprint· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Erratum to: Scalable Metric Learning for Co-Embedding
Farzaneh Mirzazadeh, Martha White, András György, Dale Schuurmans
2015· erratum· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
White Matter Fiber Segmentation Using Functional Varifolds
K. Sathish Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
2017· book-chapter· en· Lecture notes in computer science· Medicine
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Scheduling with Uncertain Start Dates
Christine Wei Wu, Kenneth N. Brown, J. Christopher Beck
2005· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Exploring Public Trust Through LLM-Driven Opinion Mining
Lily Dey, Fahim Anzum, Ulises Charles-Rodriguez, A. S. M. Hossain Bari, Jean-Christophe Boucher, Aleem Bharwani +1 more
2025· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Estate 360: AI-Driven Centralized Real Estate Platform
Neeyati Mehta, Sameer Patel, Z. A. Shaikh, Jerry Caleb, Kritika Koirala
2024· book-chapter· en· Lecture notes in computer science· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Use of agents for resolving feature interactions
Ahmed Khoumsi, Soumaya Cherkaoui
2007· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Pseudoknot-Generating Operation
Da-Jung Cho, Yo-Sub Han, Timothy Ng, Kai Salomaa
2016· book-chapter· en· Lecture notes in computer science· Biochemistry, Genetics and Molecular Biology
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
On Lazy Representations and Sturmian Graphs
Chiara Epifanio, Christiane Frougny, Alessandra Gabriele, Filippo Mignosi, Jeffrey Shallit
2011· book-chapter· en· Lecture notes in computer science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

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