MétaCan
ENFR
Menu
Cohort builder

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.

Export CSVExport JSONAPI query

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.

Search term
Author
Year range
→
Sort
Language
Type
Field
Venue
Topic
Underwater Vehicles and Communication Systems
Retraction
Abstract
Evidence source
Study design
Label agreement
Label status

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
fundfunder
venuejournal
aboutaboutness

The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

802 results · 1 filter active ·
Results by year
20002025
Publication date
Categories
Machine labels · sparse coverage
Evidence
Language
Type
Citations
An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
802 works in the cohort · of 4,299,418page 1 of 17

Labels cover 3 of 802 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 802 of 802 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
AUV Navigation and Localization: A Review
Liam Paull, Sajad Saeedi, Mae Seto, Howard Li
2014· review· en· IEEE Journal of Oceanic Engineering· Engineering
machine prediction:candidate · noneconsensus · none
1,463
citations
afffundunlabeled
A visually guided swimming robot
Gregory Dudek, Michael Jenkin, Chris Prahacs, Andrew Hogue, Junaed Sattar, Philippe Giguère +9 more
2005· article· en· Engineering
machine prediction:candidate · noneconsensus · none
138
citations
afffundunlabeled
Underwater Wireless Sensor Networks
Rodolfo W. L. Coutinho, Azzedine Boukerche, Luiz F. M. Vieira, Antônio A. F. Loureiro
2018· review· en· ACM Computing Surveys· Engineering
machine prediction:candidate · noneconsensus · none
131
citations
fundno affunlabeled
Seafloor Observatory Science: a Review
Paolo Favali, Laura Beranzoli
2006· review· en· Annals of Geophysics· Engineering
machine prediction:candidate · noneconsensus · none
124
citations
afffundno abstractunlabeled
Precise trajectory control for an inspection class ROV
Serdar Soylu, Alison A. Proctor, Ron P. Podhorodeski, Colin Bradley, Bradley J. Buckham
2015· article· en· Ocean Engineering· Engineering
machine prediction:candidate · noneconsensus · none
106
citations
affunlabeled
AUV Adaptive Sampling Methods: A Review
Jimin Hwang, Neil Bose, Shuangshuang Fan
2019· review· en· Applied Sciences· Engineering
machine prediction:candidate · noneconsensus · none
101
citations
afffundno abstractunlabeled
A comprehensive review of in-pipe robots
Jalal Taheri Kahnamouei, Mehrdad Moallem
2023· review· en· Ocean Engineering· Engineering
machine prediction:candidate · noneconsensus · none
71
citations
affno abstractunlabeled
A place for subterranean estuaries in the coastal zone
Carlos Rocha, C. E. Robinson, Isaac R. Santos, Hannelore Waska, Holly A. Michael, Henry Bokuniewicz
2021· article· en· Estuarine Coastal and Shelf Science· Engineering
machine prediction:candidate · noneconsensus · none
63
citations
affunlabeled
Choosing the right signal
Roee Diamant, Arie Feuer, Lutz Lampe
2012· article· en· Engineering
machine prediction:candidate · noneconsensus · none
48
citations
next →

How this was built: Screen · Findings · About