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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.

affaffiliation
fundfunder
venuejournal
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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.

867 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.
867 works in the cohort · of 4,299,418page 7 of 18

Labels cover 10 of 867 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 867 of 867 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

afffundno abstractunlabeled
Better entity matching with transformers through ensembles
Jwen Fai Low, Benjamin C. M. Fung, Pulei Xiong
2024· article· en· Knowledge-Based Systems· Decision Sciences
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
5
citations
affunlabeled
Data accuracy: What does it mean to LOD?
Behshid Behkamal, Ebrahim Bagheri, Mohsen Kahani, Majid Sazvar
2014· article· en· Decision Sciences
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · insufficient_payload
5
citations
affunlabeled
Contextual Data Cleaning with Ontology Functional Dependencies
Zheng Zheng, Longtao Zheng, Morteza Alipourlangouri, Fei Chiang, Lukasz Golab, Jaroslaw Szlichta +1 more
2022· article· en· Journal of Data and Information Quality· Decision Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
5
citations
affunlabeled
A vision on future advanced data collection
Irene Salemink, Stéphane Dufour, Marcel van der Steen
2020· article· en· Statistical Journal of the IAOS· Decision Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
venueno affunlabeled
THUNLP at TAC KBP 2011 in Entity Linking
Yu Zhao, Weipeng He, Zhiyuan Liu, Maosong Sun
2011· article· en· Theory and applications of categories· Decision Sciences
distilled prediction:candidate · noneconsensus · none
5
citations
affno abstractunlabeled
Private Data Management in Collaborative Environments
Larry Korba, Ronggong Song, George Yee, Andrew S. Patrick, Scott Buffett, Yunli Wang +1 more
2007· book-chapter· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · metaepi_narrow+open_scienceconsensus · open_science
5
citations
afffundaboutunlabeled
Review of Publically Available Health Big Data Sets
Dillon Chrimes, Chanhee Kim
2022· article· en· 2022 IEEE International Conference on Big Data (Big Data)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · open_science+insufficient_payload
4
citations
affaboutunlabeled
Perspectives on Linkage Involving Indigenous data
Jennifer Walker, Bonnie Healy, Chyloe Healy, Tina Apsassin, William E. Wadsworth, Carmen Jones +6 more
2018· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+scholarly_communication+open_scienceconsensus · none
4
citations
affno abstractunlabeled
Quality Metrics for Linked Open Data
Behshid Behkamal, Mohsen Kahani, Ebrahim Bagheri
2015· book-chapter· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_scienceconsensus · metaresearch+open_science
4
citations
affunlabeled
Guided Data Repair
Mohamed Yakout, Ahmed K. Elmagarmid, Jennifer Neville, Mourad Ouzzani, Ihab F. Ilyas
2011· preprint· en· arXiv (Cornell University)· Decision Sciences
distilled prediction:candidate · metaepi_narrow+open_science+insufficient_payloadconsensus · open_science+insufficient_payload
4
citations
venueno affno abstractunlabeled
CMU System for Entity Discovery and Linking at TAC-KBP 2015.
Nicolas Rodolfo Fauceglia, Yiu-Chang Lin, Xuezhe Ma, Eduard Hovy
2015· article· en· Theory and applications of categories· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
LaQuE: Enabling Entity Search at Scale
Negar Arabzadeh, Amin Bigdeli, Ebrahim Bagheri
2024· book-chapter· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
4
citations
venueno affno abstractunlabeled
SUMMA at TAC Knowledge Base Population Task 2017.
Afonso Mendes, David Silva Nogueira, Samuel Broscheit, Filipe Aleixo, Pedro Balage, Rui Martins +2 more
2017· article· en· Theory and applications of categories· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affunlabeled
User Perception of Data and Medical Record Personalities
Justin St-Maurice, Catherine M. Burns
2014· article· en· Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affaboutunlabeled
Record Linkage Project Process Model
Richard Trudeau
2017· article· en· International Journal for Population Data Science· Decision Sciences
distilled prediction:candidate · metaresearch+sts+scholarly_communication+open_scienceconsensus · scholarly_communication
4
citations
venueno affunlabeled
The UC3M team at the Knowledge Base Population task.
César de Pablo-Sánchez, Juan Perea, Isabel Segura-Bédmar, Paloma Martı́nez
2009· article· en· Theory and applications of categories· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
affno abstractunlabeled
Move Pruning and Duplicate Detection
Robert C. Holte
2013· book-chapter· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · scholarly_communicationconsensus · none
4
citations
affunlabeled
Understanding and Improving Data Repurposing
Jeffrey Parsons, Roman Lukyanenko, Brad N. Greenwood, Caren B. Cooper
2025· article· en· MIS Quarterly· Decision Sciences
distilled prediction:candidate · noneconsensus · none
4
citations
fundno affunlabeled
DataMed: Finding useful data across multiple biomedical data repositories
Lucila Ohno‐Machado, S-A Sansone, George Alter, Ian Fore, Jeffrey S. Grethe, Hua Xu +5 more
2016· preprint· en· bioRxiv (Cold Spring Harbor Laboratory)· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+scholarly_communication+open_science+insufficient_payloadconsensus · open_science
4
citations
affno abstractunlabeled
Models for Distributed, Large Scale Data Cleaning
Vincent J. Maccio, Fei Chiang, Douglas G. Down
2014· book-chapter· en· Lecture notes in computer science· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+open_scienceconsensus · none
4
citations

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