MétaCan
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.

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
CCD and CMOS Imaging Sensors
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.

546 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.
546 works in the cohort · of 4,299,418page 1 of 11

Labels cover 0 of 546 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 546 of 546 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.

afffundunlabeled
CMOS Image Sensors for High Speed Applications
Munir M. El‐Desouki, M. Jamal Deen, Qiyin Fang, Louis Liu, Frances Tse, David Armstrong
2009· article· en· Sensors· Engineering
machine prediction:candidate · noneconsensus · none
195
citations
affunlabeled
Computational Plenoptic Imaging
Gordon Wetzstein, Ivo Ihrke, Douglas Lanman, Wolfgang Heidrich
2011· article· en· Computer Graphics Forum· Engineering
machine prediction:candidate · noneconsensus · none
78
citations
affunlabeled
Low-Power Computer Vision: Status, Challenges, and Opportunities
Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen +37 more
2019· article· en· IEEE Journal on Emerging and Selected Topics in Circuits and Systems· Engineering
machine prediction:candidate · noneconsensus · none
76
citations
affunlabeled
AstroCLIP: a cross-modal foundation model for galaxies
Liam Parker, François Lanusse, Siavash Golkar, Leopoldo Sarra, Miles Cranmer, Alberto Bietti +9 more
2024· article· en· Monthly Notices of the Royal Astronomical Society· Engineering
machine prediction:candidate · noneconsensus · none
55
citations
affaboutunlabeled
A highly automated moving object detection package
Jean-Marc Petit, Matthew J. Holman, H. Schöll, J. J. Kavelaars, Brett Gladman
2003· article· en· Monthly Notices of the Royal Astronomical Society· Engineering
machine prediction:candidate · noneconsensus · none
42
citations
afffundunlabeled
<title>Tuning Retinex parameters</title>
Brian Funt, Florian Ciurea, John J. McCann
2002· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
38
citations
affno abstractunlabeled
Millisecond timing on PCs and Macs
W. Joseph MacInnes, Tracy Taylor
2001· article· en· Behavior Research Methods, Instruments, & Computers· Engineering
machine prediction:candidate · noneconsensus · none
35
citations
aboutno affunlabeled
Extreme Faint Flux Imaging with an EMCCD
2009· article· en· Publications of the Astronomical Society of the Pacific· Engineering
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
3-D Brain MRI Tissue Classification on FPGAs
J.J. Koo, Alan C. Evans, Warren J. Gross
2009· article· en· IEEE Transactions on Image Processing· Engineering
machine prediction:candidate · noneconsensus · none
34
citations
affunlabeled
CCCP: a CCD controller for counting photons
Olivier Daigle, Jean-Luc Gach, Christian Guillaume, Simon Lessard, C. Carignan, Sébastien Blais-Ouellette
2008· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
31
citations
afffundno abstractunlabeled
CMOS photodetector systems for low-level light applications
Naser Faramarzpour, Munir M. El‐Desouki, M. Jamal Deen, Shahram Shirani, Qiyin Fang
2007· article· en· Journal of Materials Science Materials in Electronics· Engineering
machine prediction:candidate · noneconsensus · none
29
citations
affunlabeled
Adaptive Multiple-Resolution CMOS Active Pixel Sensor
E. Artyomov, Orly Yadid-Pecht
2006· article· en· IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications· Engineering
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Near-perfect simultaneous measurement of a qubit register
M. Acton, Kathy-Anne Brickman, P. C. Haljan, P. J. Lee, Louis Deslauriers, C. Monroe
2006· article· en· Quantum Information and Computation· Engineering
machine prediction:candidate · noneconsensus · none
25
citations
affunlabeled
Faint flux performance of an EMCCD
Olivier Daigle, C. Carignan, Sébastien Blais-Ouellette
2006· article· en· Engineering
machine prediction:candidate · noneconsensus · none
24
citations

How this was built: Screen · Findings · About