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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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Infrared Target Detection Methodologies
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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.

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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.

286 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.
286 works in the cohort · of 4,299,418page 1 of 6

Labels cover 1 of 286 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 286 of 286 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.

afffundno abstractunlabeled
MFEL-YOLO for small object detection in UAV aerial images
Ting Hou, Chengcai Leng, Jiaxin Wang, Zhao Pei, Jinye Peng, Irene Cheng +1 more
2025· article· en· Expert Systems with Applications· Engineering
machine prediction:candidate · noneconsensus · none
31
citations
affunlabeled
Enhanced Thermal-RGB Fusion for Robust Object Detection
Wassim El Ahmar, Yahya Massoud, Dhanvin Kolhatkar, Hamzah AlGhamdi, Mohammad Alja’afreh, Robert Laganière +1 more
2023· article· en· Engineering
machine prediction:candidate · noneconsensus · none
26
citations
affaboutunlabeled
Validation of ShipIR (v3.2): methodology and results
David A. Vaitekunas
2006· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
19
citations
affunlabeled
Flexible 640 x 480 pixel infrared camera module for fast prototyping
Alain Bergeron, Loïc Le Noc, Bruno Tremblay, François Lagacé, Luc Mercier, François Duchesne +5 more
2009· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
12
citations
aboutno affunlabeled
Visual Sensor Networks
Deepa Kundur, Ching‐Yung Lin, Chun-Shien Lu
2007· article· en· EURASIP Journal on Advances in Signal Processing· Engineering
machine prediction:candidate · noneconsensus · none
10
citations
affunlabeled
Near infrared imaging for multi-polar civilian applications
A. Ebeid, S. Rott, E. Talmy, Clemente Ibarra‐Castanedo, A. Bendada, Xavier Maldague
2010· article· en· Proceedings of the 2010 International Conference on Quantitative InfraRed Thermography· Engineering
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Detection of motion-defined form using night vision goggles
Todd Macuda, Greg Craig, Robert S. Allison, Pearl S. Guterman, Paul Thomas, Sion Jennings
2005· article· en· Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE· Engineering
machine prediction:candidate · noneconsensus · none
7
citations

How this was built: Screen · Findings · About