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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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Image and Object Detection Techniques
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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
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.

238 results · 1 filter active ·
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20002025
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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.
238 works in the cohort · of 4,299,418page 4 of 5

Labels cover 1 of 238 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 238 of 238 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.

venueno affunlabeled
Analysis Methods Used to Extract Fingerprints Features
Mohammad S. Khrisat, R. S. A. Zneit, Hatim Ghazi Zaini, Ziad Alqadi
2021· article· en· Traitement du signal· Computer Science
machine prediction:candidate · noneconsensus · none
2
citations
affunlabeled
High‐Performance Elliptical Cone Tracing
U. Emre, A. Kanak, Shlomi Steinberg
2025· article· en· Computer Graphics Forum· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
fundaboutno affunlabeled
An Automated Enrolment Projection System
David William Gasteiger
2011· dissertation· en· TSpace (University of Toronto)· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
afffundunlabeled
Sparse Deformable Mamba for Hyperspectral Image Classification
Linlin Xu, Yimin Zhu, Zack Dewis, Zhengsen Xu, Motasem Alkayid, Mabel Heffring +1 more
2025· article· en· IEEE Geoscience and Remote Sensing Letters· Computer Science
machine prediction:candidate · noneconsensus · none
1
citations
affno abstractunlabeled
Concluding Remarks
Shantanu Banik, Rangaraj M. Rangayyan, J. E. Leo Desautels
2013· book-chapter· en· Synthesis lectures on biomedical engineering· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
On-Line Extraction
Colin F. Poole, Zoltán Mester, Manuel Miró, Stig Pedersen‐Bjergaard, Janusz Pawliszyn
2017· dataset· en· IUPAC Standards Online· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Towards Rotation Invariance in Object Detection
Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi
2021· article· en· 2021 IEEE/CVF International Conference on Computer Vision (ICCV)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
Enseignement comodal
2025· other· fr· Zenodo (CERN European Organization for Nuclear Research)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations

How this was built: Screen · Findings · About