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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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Synthesis lectures on information concepts, retrieval, and services
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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.

21 results · 1 filter active ·
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20142025
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Machine labels · sparse coverage
Evidence
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Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
21 works in the cohort · of 4,299,418page 1 of 1

Labels cover 0 of 21 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 21 of 21 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Analysis and Visualization of Citation Networks
Dangzhi Zhao, Andreas Strotmann
2015· book· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
178
citations
affno abstractunlabeled
Analysis and Visualization of Citation Networks
Dangzhi Zhao, Andreas Strotmann
2015· article· en· Synthesis lectures on information concepts, retrieval, and services· Decision Sciences
distilled prediction:candidate · metaresearch+bibliometrics+scholarly_communicationconsensus · bibliometrics
136
citations
affno abstractunlabeled
Measuring User Engagement
Mounia Lalmas, Heather O’Brien, Elad Yom‐Tov
2014· article· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · noneconsensus · none
85
citations
afffundno abstractunlabeled
Researching Serendipity in Digital Information Environments
Lori McCay‐Peet, Elaine G. Toms
2017· article· en· Synthesis lectures on information concepts, retrieval, and services· Decision Sciences
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · scholarly_communication
22
citations
affno abstractunlabeled
Visualization of Citation Networks
Dangzhi Zhao, Andreas Strotmann
2015· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
11
citations
affno abstractunlabeled
Foundations of Citation Analysis
Dangzhi Zhao, Andreas Strotmann
2015· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Arts and Humanities
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
4
citations
afffundno abstractunlabeled
User Engagement Research and Practice
Heather O'Brien
2025· book· en· Synthesis lectures on information concepts, retrieval, and services· Social Sciences
distilled prediction:candidate · metaepi_narrow+stsconsensus · none
3
citations
affno abstractunlabeled
Data Needs
Kathleen Gregory, Laura Koesten
2022· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
3
citations
affno abstractunlabeled
Introduction
Heather O’Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Discovering Data
Kathleen Gregory, Laura Koesten
2022· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Introduction
Kathleen Gregory, Laura Koesten
2022· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
1
citations
affno abstractunlabeled
Data Discovery: A Human-Centered View
Kathleen Gregory, Laura Koesten
2022· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
1
citations
affno abstractunlabeled
Conceptual Approaches to User Engagement
Heather L. O'Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Psychology
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Approaches to Measuring User Engagement
Heather L. O'Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
What Drives Serendipity Research?
Lori McCay‐Peet, Elaine G. Toms
2018· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Decision Sciences
distilled prediction:candidate · metaresearch+metaepi_narrow+bibliometrics+sts+scholarly_communication+insufficient_payloadconsensus · insufficient_payload
0
citations
affno abstractunlabeled
Data Evaluation and Sensemaking
Kathleen Gregory, Laura Koesten
2022· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
User Engagement with Interactive Information Systems
Heather L. O'Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Social Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
0
citations
affno abstractunlabeled
Conclusions and Future Research Directions
Mounia Lalmas, Heather O’Brien, Elad Yom‐Tov
2015· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations
affno abstractunlabeled
Conclusion
Heather O’Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Social Sciences
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Recommendations for Data Discovery, Sensemaking and Reuse
Kathleen Gregory, Laura Koesten
2022· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Decision Sciences
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
Influences on User Engagement
Heather L. O'Brien
2025· book-chapter· en· Synthesis lectures on information concepts, retrieval, and services· Social Sciences
distilled prediction:candidate · metaepi_narrowconsensus · none
0
citations

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