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
Sensor Technology and Measurement 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.

426 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.
426 works in the cohort · of 4,299,418page 1 of 9

Labels cover 1 of 426 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 426 of 426 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
A First Course in Digital Communications
Ha H. Nguyen, E. Shwedyk
2009· book· en· Cambridge University Press eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
90
citations
affunlabeled
Guide for Application of direct real-time monitoring systems
Rob Stephen, Jean‐Louis Lilien, Tap seppa, D.A. Douglass, M. Lancaster, Gerhard Biedenbach +4 more
2012· article· en· Open Repository and Bibliography (University of Liège)· Computer Science
machine prediction:candidate · noneconsensus · none
62
citations
affno abstractunlabeled
Optical Waveguide Sensing and Imaging
Wojtek J. Bock, Israel Gannot, Stoyan Tanev
2007· book· en· NATO science for peace and security series· Computer Science
machine prediction:candidate · noneconsensus · none
48
citations
affno abstractunlabeled
Design of a Portable Low-Cost Impedance Analyzer
Abdulwadood A. Al–Ali, Ahmed S. Elwakil, Abdelaziz Ahmad, Brent Maundy
2017· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
41
citations
affunlabeled
Processing of Underway CTD Data
David Ullman, D. Hebert
2014· article· en· Journal of Atmospheric and Oceanic Technology· Computer Science
machine prediction:candidate · noneconsensus · none
40
citations
affno abstractunlabeled
FOURIER TRANSFORM INFRARED SPECTROSCOPY
Derek Peak
2004· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
afffundunlabeled
High-Precision Resolver-to-Velocity Converter
Leonam Pecly, Ryan Schindeler, Daniel Cleveland, Keyvan Hashtrudi-Zaad
2017· article· en· IEEE Transactions on Instrumentation and Measurement· Computer Science
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
A test system for calibrating flickermeters
R. Arseneau, M. Sutherland, J. Zelle
2002· article· en· IEEE Transactions on Instrumentation and Measurement· Computer Science
machine prediction:candidate · noneconsensus · none
27
citations
affunlabeled
A Web-Services Framework for 1451 Sensor Networks
E.F. Sadok, Ramiro Liscano
2006· article· en· 2005 IEEE Instrumentationand Measurement Technology Conference Proceedings· Computer Science
machine prediction:candidate · noneconsensus · none
24
citations
affunlabeled
A brief review over neural network modeling techniques
Mohammad Reza Mohammadi, Sayed Alireza Sadrossadat, Mir Gholamreza Mortazavi, Behzad Nouri
2017· review· en· 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI)· Computer Science
machine prediction:candidate · noneconsensus · none
17
citations
affno abstractunlabeled
Pressure transmitter accuracy
H.M. Hashemian, Jin Jiang
2009· article· en· ISA Transactions· Computer Science
machine prediction:candidate · noneconsensus · none
16
citations
fundno affunlabeled
Data Acquisition Applications
Zdravko Karakehayov
2012· book· en· InTech eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
15
citations
afffundunlabeled
Analysis and modeling of noise in biomedical systems
Mina Ranjbaran, Kian Jalaleddini, Diego Guarin Lopez, Robert E. Kearney, Henrietta L. Galiana
2013· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
14
citations
affno abstractunlabeled
Digital Signal Processing
D. Sundararajan
2024· book· en· Computer Science
machine prediction:candidate · noneconsensus · none
13
citations
afffundunlabeled
Kinetic inductance parametric converter
M. Khalifa, Polina Feldmann, Joe Salfi
2024· article· en· Physical Review Applied· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
afffundno abstractunlabeled
A generic impedance modeling technique
Abdulwadood A. Al–Ali, Ahmed S. Elwakil, Brent Maundy, David T. Westwick
2020· article· en· AEU - International Journal of Electronics and Communications· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affunlabeled
Spectral Theory and Applications
2018· book· en· Contemporary mathematics - American Mathematical Society· Computer Science
machine prediction:candidate · noneconsensus · none
11
citations
affno abstractunlabeled
Zero resistance ammetry and galvanic sensors
Robert D. Klassen, P.R. Roberge
2008· book-chapter· en· Elsevier eBooks· Computer Science
machine prediction:candidate · noneconsensus · none
9
citations
next →

How this was built: Screen · Findings · About