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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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Advanced Data and IoT Technologies
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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.

59 results · 1 filter active ·
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20052025
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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.
59 works in the cohort · of 4,299,418page 1 of 2

Labels cover 0 of 59 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 59 of 59 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.

affunlabeled
Multimedia Technologies: A Comprehensive Review
yanquan Chen, yuyang Nie
2022· review· en· HAL (Le Centre pour la Communication Scientifique Directe)· Engineering
machine prediction:candidate · noneconsensus · none
1
citations
aboutno affunlabeled
IEEE ISTAS13 Symposium
Alexander Hayes, Katina Michael, Susannah Sabine, Ryan Janzen, Doug Nix, Russel Verbeeten
2014· article· en· Figshare· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
IEEE ISTAS13 Symposium
Alexander Hayes, Katina Michael, Steve Mann, Susannah Sabine, Ryan Janzen, Doug Nix +1 more
2014· dataset· en· Figshare· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
2013 IEEE ISTAS13 Symposium
Alexander Hayes, Katina Michael, Steve Mann, Susannah Sabine, Ryan Janzen, Doug Nix +1 more
2014· dataset· en· Figshare· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
IEEE Sections Congress and CASS Workshop Ottawa
Ricardo Reis, Hao Li, Manuel Delgado‐Restituto
2024· article· en· IEEE Circuits and Systems Magazine· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
IEEE IRIS2017 table of contents
Dan Zhang, Ali Safaei, Yeong Chin, Muhammad Mahyuddin
2017· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
affunlabeled
Preface: (ICCSSE 2022)
Yifei Chen, Chun‐Yi Su, Maria Pia Fanti
2022· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Preface ISPCEM 2023
2023· article· en· Engineering
machine prediction:candidate · insufficient_payloadconsensus · insufficient_payload
0
citations
fundno affunlabeled
[no title]
2024· other· en· Directory of Open access Books (OAPEN Foundation)· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
Guest Editorial
Zhizhang Chen, Zhang‐Cheng Hao
2019· editorial· en· IEEE Transactions on Microwave Theory and Techniques· Engineering
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affunlabeled
IEEE IAS 2021 Award Winners [Awards]
Akshay Kumar Rathore
2021· article· en· IEEE Industry Applications Magazine· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Trend 1974 - 2006. Statistics Canada. CANSIM: Labor - Nonwage Benefits | Country: Canada | Table: Registered pension plans (RPPs) and members, by class of employees eligible for the plan, sector, type of plan and contributory status | Variable: All employees, Plans, Defined benefit registered pension plans | Units: # %, 1974-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-142.
2015· other· en· Data Planet· Engineering
machine prediction:candidate · noneconsensus · none
0
citations
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How this was built: Screen · Findings · About