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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.

2,769 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.
2,769 works in the cohort · of 4,299,418page 38 of 56

Labels cover 6 of 2,769 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 2,769 of 2,769 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Cross-Level Matching Model for Information Retrieval
Yifan Nie, Jian‐Yun Nie
2020· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affunlabeled
Interactive Panel Summaries of the 2024 Voice AI Symposium
Jean‐Christophe Bélisle‐Pipon, James Anibal, Ruth Huntley Bahr, Steven Bedrick, Oita C Coleman, David A Dorr +25 more
2025· review· en· Frontiers in Digital Health· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
affunlabeled
Concept-Based Mining Model
Shady Shehata, Fakhri Karray, Mohamed S. Kamel
2010· book-chapter· en· IGI Global eBooks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Adversarial Adaptation for French Named Entity Recognition
Arjun Choudhry, Inder Khatri, Pankaj Gupta, Aaryan Gupta, Maxime Nicol, Marie‐Jean Meurs +1 more
2023· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
afffundunlabeled
Evolving recurrent neural networks for emergent communication
Joshua Sirota, Vadim Bulitko, Matthew Brown, Sergio Poo Hernandez
2019· article· en· Proceedings of the Genetic and Evolutionary Computation Conference Companion· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations
fundno affunlabeled
BEADs: Bias Evaluation Across Domains
Shaina Raza, Sk. Md. Mizanur Rahman, Michael R. Zhang
2024· preprint· en· ArXiv.org· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Deep Multi-cultural Graph Representation Learning
Sima Sharifirad, Stan Matwin
2017· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
1
citations
affunlabeled
What Large Language Models Know About Plant Molecular Biology
Manuel Fernandez Burda, Lucía Ferrero, Nicolás Gaggion, Camille Fonouni‐Farde, Martín Crespi, Federico Ariel +106 more
2025· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Information Retrieval by Semantic Similarity
Angelos Hliaoutakis, Giannis Varelas, Epimenidis Voutsakis, Euripides G. M. Petrakis, Evangelos Milios
2011· book-chapter· en· Medical Informatics· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
SILVER: Generating Persuasive Chinese Product Pitch
Yunsen Hong, Hui Li, Yanghua Xiao, Ryan McBride, Chen Lin
2021· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affunlabeled
Copy this Sentence.
Vasileios Lioutas, Andriy Drozdyuk
2019· preprint· en· arXiv (Cornell University)· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
1
citations
affunlabeled
Is Timing Critical to Trace Reconstruction?
Javier Perez Tobia, Apurva Narayan
2021· article· en· 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC)· Computer Science
distilled prediction:candidate · noneconsensus · none
1
citations

How this was built: Screen · Findings · About