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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.

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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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Advanced Image and Video Retrieval Techniques
Retraction
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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
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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.

1,044 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.
1,044 works in the cohort · of 4,299,418page 21 of 21

Labels cover 2 of 1,044 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 1,044 of 1,044 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
York University at TREC 2012: Microblog Track.
Zahra Amin Nayeri, Zheng Ye, Jimmy Xiangji Huang
2012· article· en· Text REtrieval Conference· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2023· dataset· en· Global Biodiversity Information Facility· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Open Problems from CCCG 2016.
J. G. O’Rourke
2017· article· en· Smith ScholarWorks (Smith College)· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
affno abstractunlabeled
On the Orthogonality of Bias and Effectiveness in Ad hoc Retrieval
Amin Bigdeli, Negar Arabzadeh, Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri
2021· article· en· International ACM SIGIR Conference on Research and Development in Information Retrieval· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
BarkNet 1.0 (Part 4 of 4)
Philippe Giguère
2019· article· en· Mendeley Data· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
Occurrence Download
2025· dataset· en· Global Biodiversity Information Facility· Computer Science
machine prediction:candidate · insufficient_payloadconsensus · none
0
citations
aboutno affunlabeled
BarkNet 1.0 (Part 2 of 4)
2019· article· en· Mendeley Data· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
New Superconductors
2008· other· es· PIRSA· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affno abstractunlabeled
080101 pupil_positions.tab
2025· dataset· en· UNB Dataverse· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
affunlabeled
The keystone scavenger team
Jacky Baltes, John Anderson
2006· article· en· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
venueno affunlabeled
Learning to Combine Kernels for Object Categorization
Deyuan Zhang, Bingquan Liu, Chengjie Sun, Xiaolong Wang
2011· article· en· Computer and Information Science· Computer Science
machine prediction:candidate · noneconsensus · none
0
citations
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