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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.

109 results · 1 filter active ·
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20162025
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Machine labels · sparse coverage
Evidence
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
109 works in the cohort · of 4,299,418page 2 of 3

Labels cover 0 of 109 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 109 of 109 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
Identifying Prime Customers Based on MobileUsage Patterns
Deepali Arora, Kin Fun Li
2016· book-chapter· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Exploring the Nexus of Organizational Resilience and Antifragility
José Sevilla-Ruiz, José Juan Nebro-Mellado, Cristina Ruiz-Martín, Adolfo López‐Paredes
2025· book-chapter· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Discrete Planar Two-Watchtower Problem for k-Visibility
Yeganeh Bahoo, Somnath Kundu, Rudaba Syed
2023· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Simultaneous Estimation of Skewness Parameters
S. Ejaz Ahmed, E. Nartey
2024· book-chapter· en· Lecture notes on data engineering and communications technologies· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Predicting Patient Length of Stay Using Machine Learning Models
Omar Khaled, Tarek Mostafa, Shaimaa Salah, Mohamed Ezz, Mohamed Omar, Ahmed F. Ali
2024· book-chapter· en· Lecture notes on data engineering and communications technologies· Health Professions
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Modelling of a Combinatorial Double Auction Using DEVS
Juan De Antón, Cristina Ruiz-Martín, Félix Villafáñez, David Poza, Adolfo López‐Paredes
2025· book-chapter· en· Lecture notes on data engineering and communications technologies· Decision Sciences
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
M-Cloud Computing Based Agriculture Management System
Vinay Jain, Shishir Kumar, Prabhat Mahanti
2018· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Advances in Networked-Based Information Systems
2025· book· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
fundno affno abstractunlabeled
Data Science and Emerging Technologies
2024· book· en· Lecture notes on data engineering and communications technologies· Business, Management and Accounting
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
Practical Survey on MapReduce Subgraph Enumeration Algorithms
Xiaozhou Liu, Yudi Santoso, Venkatesh Srinivasan, Alex Thomo
2022· book-chapter· en· Lecture notes on data engineering and communications technologies· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About