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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
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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.

879 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.
879 works in the cohort · of 4,299,418page 8 of 18

Labels cover 3 of 879 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 879 of 879 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
On GPU’s viability as a middleware accelerator
Samer Al-Kiswany, Abdullah Gharaibeh, Elizeu Santos‐Neto, Matei Ripeanu
2009· article· en· Cluster Computing· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affno abstractunlabeled
Application Platform for Smart Transportation
Ali Tizghadam, Alberto Leon‐Garcia
2015· book-chapter· en· Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Campus-Level Instagram Traffic: A Case Study
Steffen Berg Klenow, Carey Williamson, Martin Arlitt, Sina Keshvadi
2019· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
9
citations
affunlabeled
A Dual Grain Hit-Miss Detector for Large Die-Stacked DRAM Caches
Michel El-Nacouzi, Islam Atta, Myrto Papadopoulou, Jason Zebchuk, Natalie Enright Jerger, Andreas Moshovos
2013· article· en· Design, Automation & Test in Europe Conference & Exhibition (DATE), 2013· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communication+insufficient_payloadconsensus · none
8
citations
affno abstractunlabeled
Data ubiquity in autonomic wireless mesh networks
Thabo K. R. Nkwe, Mieso K. Denko, Jason B. Ernst
2009· article· en· Journal of Ambient Intelligence and Humanized Computing· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Coded multicasting in cache-enabled vehicular ad hoc network
Haizhou Bao, Chuanhe Huang, Zhongzheng Tang, Qihui Li, Qiufen Ni, Xiaodai Dong +1 more
2019· article· en· Computer Networks· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
affno abstractunlabeled
A Management Framework for Service Personalization
Muhammad Jaseemudin, Abdallah Rayhan
2002· book-chapter· en· Lecture notes in computer science· Computer Science
distilled prediction:candidate · metaepi_narrowconsensus · none
8
citations
affno abstractunlabeled
Latency Control of ICN Enabled 5G Networks
Shahin Vakilinia, Halima Elbiaze
2019· article· en· Journal of Network and Systems Management· Computer Science
distilled prediction:candidate · noneconsensus · none
8
citations
affunlabeled
Machine Learning Prediction andWeb Access Modeling
Wenying Feng, Karan Vij
2007· article· en· Proceedings - International Computer Software & Applications Conference· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
7
citations

How this was built: Screen · Findings · About