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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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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.

594 results · 1 filter active ·
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20172025
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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.
594 works in the cohort · of 4,299,418page 5 of 12

Labels cover 1 of 594 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 594 of 594 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Process Mining as a Time Series Analysis Tool via Graph Kernels
Julio J. Valdés, Yaimara Céspedes-González, Antonio Pou
2021· book-chapter· en· Lecture notes in networks and systems· Business, Management and Accounting
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
The Design of Smart Cane SC+
Bonnie Yam, Maher Elshakankiri
2024· book-chapter· en· Lecture notes in networks and systems· Engineering
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Software-Driven Revolution Redefining Automotive Industry
Rushikesh Bhandari, Gaurav Gupta, Harsha Vardhan Sanne, Arun Pandiyan Perumal, S. Balakrishnan, Saikat Gochhait
2025· book-chapter· en· Lecture notes in networks and systems· Engineering
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
1
citations
affno abstractunlabeled
Smart Technologies for Power and Green Energy
Rudra Narayan Dash, Akshay Kumar Rathore, Vinod Khadkikar, Ranjeeta Patel, Manoj Kumar Debnath
2022· book· en· Lecture notes in networks and systems· Engineering
distilled prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Radiation Pressure in Opal-Based Microcavities
M. Toledo-Solano, M. Palomino‐Ovando, Enrique Sánchez-Mora, Jocelyn Faubert, J. E. Lugo
2022· book-chapter· en· Lecture notes in networks and systems· Physics and Astronomy
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
affno abstractunlabeled
Blockchain: Architecture, Security and Consensus Algorithms
Taher Abouzaid Abdel Aty Abdel Bary, Basem Mohamed Elomda
2023· book-chapter· en· Lecture notes in networks and systems· Computer Science
distilled prediction:candidate · metaepi_narrow+research_integrityconsensus · none
1
citations
affno abstractunlabeled
Deep Learning-Based Vehicle Classification
Raghib Barkat Muhib, Imran Shafiq Ahmad, Boubakeur Boufama
2023· book-chapter· en· Lecture notes in networks and systems· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
1
citations
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